class UAVSAR_HDF5_SLC(Sensor):
"""
A class representing a Level1Product meta data.
Level1Product(hdf5=h5filename) will parse the hdf5
file and produce an object with attributes for metadata.
"""
parameter_list = (HDF5, FREQUENCY, POLARIZATION) + Sensor.parameter_list
logging_name = 'isce.Sensor.UAVSAR_HDF5_SLC'
family = 'uavsar_hdf5_slc'
def __init__(self,
family='',
name=''): # , frequency='frequencyA', polarization='HH'):
super(UAVSAR_HDF5_SLC,
self).__init__(family if family else self.__class__.family,
name=name)
self.frame = Frame()
self.frame.configure()
# Some extra processing parameters unique to UAVSAR HDF5 SLC (currently)
self.dopplerRangeTime = []
self.dopplerAzimuthTime = []
self.azimuthRefTime = None
self.rangeRefTime = None
self.rangeFirstTime = None
self.rangeLastTime = None
#self.frequency = frequency
#self.polarization = polarization
self.lookMap = {'right': -1, 'left': 1}
return
def __getstate__(self):
d = dict(self.__dict__)
del d['logger']
return d
def __setstate__(self, d):
self.__dict__.update(d)
self.logger = logging.getLogger('isce.Sensor.UAVSAR_HDF5_SLC')
return
def getFrame(self):
return self.frame
def parse(self):
try:
fp = h5py.File(self.hdf5, 'r')
except Exception as strerr:
self.logger.error("IOError: %s" % strerr)
return None
self.populateMetadata(fp)
fp.close()
def populateMetadata(self, file):
"""
Populate our Metadata objects
"""
self._populatePlatform(file)
self._populateInstrument(file)
self._populateFrame(file)
self._populateOrbit(file)
def _populatePlatform(self, file):
platform = self.frame.getInstrument().getPlatform()
platform.setMission(
file['/science/LSAR/identification'].get('missionId')[(
)].decode('utf-8'))
platform.setPointingDirection(
self.lookMap[file['/science/LSAR/identification'].get(
'lookDirection')[()].decode('utf-8')])
platform.setPlanet(Planet(pname="Earth"))
# We are not using this value anywhere. Let's fix it for now.
platform.setAntennaLength(12.0)
def _populateInstrument(self, file):
instrument = self.frame.getInstrument()
rangePixelSize = file['/science/LSAR/SLC/swaths/' + self.frequency +
'/slantRangeSpacing'][()]
wvl = SPEED_OF_LIGHT / file['/science/LSAR/SLC/swaths/' +
self.frequency +
'/processedCenterFrequency'][()]
instrument.setRadarWavelength(wvl)
instrument.setPulseRepetitionFrequency(
1.0 / file['/science/LSAR/SLC/swaths/zeroDopplerTimeSpacing'][()])
rangePixelSize = file['/science/LSAR/SLC/swaths/' + self.frequency +
'/slantRangeSpacing'][()]
instrument.setRangePixelSize(rangePixelSize)
# Chrip slope and length only are used in the split spectrum workflow to compute the bandwidth.
# Therefore fixing it to 1.0 won't breack anything
Chirp_slope = 1.0
rangeBandwidth = file['/science/LSAR/SLC/swaths/' + self.frequency +
'/processedRangeBandwidth'][()]
Chirp_length = rangeBandwidth / Chirp_slope
instrument.setPulseLength(Chirp_length)
instrument.setChirpSlope(Chirp_slope)
rangeSamplingFrequency = SPEED_OF_LIGHT / 2. / rangePixelSize
instrument.setRangeSamplingRate(rangeSamplingFrequency)
incangle = 0.0
instrument.setIncidenceAngle(incangle)
def _populateFrame(self, file):
slantRange = file['/science/LSAR/SLC/swaths/' + self.frequency +
'/slantRange'][0]
self.frame.setStartingRange(slantRange)
referenceUTC = file['/science/LSAR/SLC/swaths/zeroDopplerTime'].attrs[
'units'].decode('utf-8')
referenceUTC = referenceUTC.replace('seconds since ', '')
referenceUTC = datetime.datetime.strptime(referenceUTC,
'%Y-%m-%d %H:%M:%S')
relStart = file['/science/LSAR/SLC/swaths/zeroDopplerTime'][0]
relEnd = file['/science/LSAR/SLC/swaths/zeroDopplerTime'][-1]
relMid = 0.5 * (relStart + relEnd)
sensingStart = self._combineDateTime(referenceUTC, relStart)
sensingStop = self._combineDateTime(referenceUTC, relEnd)
sensingMid = self._combineDateTime(referenceUTC, relMid)
self.frame.setPassDirection(
file['/science/LSAR/identification'].get('orbitPassDirection')[(
)].decode('utf-8'))
self.frame.setOrbitNumber(
file['/science/LSAR/identification'].get('trackNumber')[()])
self.frame.setProcessingFacility('JPL')
self.frame.setProcessingSoftwareVersion(
file['/science/LSAR/SLC/metadata/processingInformation/algorithms']
.get('ISCEVersion')[()].decode('utf-8'))
self.frame.setPolarization(self.polarization)
self.frame.setNumberOfLines(
file['/science/LSAR/SLC/swaths/' + self.frequency + '/' +
self.polarization].shape[0])
self.frame.setNumberOfSamples(
file['/science/LSAR/SLC/swaths/' + self.frequency + '/' +
self.polarization].shape[1])
self.frame.setSensingStart(sensingStart)
self.frame.setSensingMid(sensingMid)
self.frame.setSensingStop(sensingStop)
rangePixelSize = self.frame.instrument.rangePixelSize
farRange = slantRange + (self.frame.getNumberOfSamples() -
1) * rangePixelSize
self.frame.setFarRange(farRange)
def _populateOrbit(self, file):
orbit = self.frame.getOrbit()
orbit.setReferenceFrame('ECR')
orbit.setOrbitSource('Header')
referenceUTC = file['/science/LSAR/SLC/swaths/zeroDopplerTime'].attrs[
'units'].decode('utf-8')
referenceUTC = referenceUTC.replace('seconds since ', '')
t0 = datetime.datetime.strptime(referenceUTC, '%Y-%m-%d %H:%M:%S')
t = file['/science/LSAR/SLC/metadata/orbit/time']
position = file['/science/LSAR/SLC/metadata/orbit/position']
velocity = file['/science/LSAR/SLC/metadata/orbit/velocity']
for i in range(len(position)):
vec = StateVector()
dt = t0 + datetime.timedelta(seconds=t[i])
vec.setTime(dt)
vec.setPosition([position[i, 0], position[i, 1], position[i, 2]])
vec.setVelocity([velocity[i, 0], velocity[i, 1], velocity[i, 2]])
orbit.addStateVector(vec)
def extractImage(self):
import numpy as np
import h5py
self.parse()
fid = h5py.File(self.hdf5, 'r')
ds = fid['/science/LSAR/SLC/swaths/' + self.frequency + '/' +
self.polarization]
nLines = ds.shape[0]
with open(self.output, 'wb') as fout:
for ii in range(nLines):
ds[ii, :].astype(np.complex64).tofile(fout)
fid.close()
slcImage = isceobj.createSlcImage()
slcImage.setFilename(self.output)
slcImage.setXmin(0)
slcImage.setXmax(self.frame.getNumberOfSamples())
slcImage.setWidth(self.frame.getNumberOfSamples())
slcImage.setAccessMode('r')
slcImage.renderHdr()
self.frame.setImage(slcImage)
def _parseNanoSecondTimeStamp(self, timestamp):
"""
Parse a date-time string with nanosecond precision and return a datetime object
"""
dateTime, nanoSeconds = timestamp.decode('utf-8').split('.')
microsec = float(nanoSeconds) * 1e-3
dt = datetime.datetime.strptime(dateTime, '%Y-%m-%d %H:%M:%S')
dt = dt + datetime.timedelta(microseconds=microsec)
return dt
def _combineDateTime(self, dobj, secsstr):
'''Takes the date from dobj and time from secs to spit out a date time object.
'''
sec = float(secsstr)
dt = datetime.timedelta(seconds=sec)
return dobj + dt
def extractDoppler(self):
"""
Return the doppler centroid as defined in the HDF5 file.
"""
import h5py
from scipy.interpolate import UnivariateSpline
import numpy as np
h5 = h5py.File(self.hdf5, 'r')
# extract the 2D LUT of Doppler and choose only one range line as the data duplicates for other range lines
dop = h5['/science/LSAR/SLC/metadata/processingInformation/parameters/'
+ self.frequency + '/dopplerCentroid'][0, :]
rng = h5[
'/science/LSAR/SLC/metadata/processingInformation/parameters/slantRange']
# extract the slant range of the image grid
imgRng = h5['/science/LSAR/SLC/swaths/' + self.frequency +
'/slantRange']
# use only part of the slant range that closely covers image ranges and ignore the rest
ind0 = np.argmin(np.abs(rng - imgRng[0])) - 1
ind0 = np.max([0, ind0])
ind1 = np.argmin(np.abs(rng - imgRng[-1])) + 1
ind1 = np.min([ind1, rng.shape[0]])
dop = dop[ind0:ind1]
rng = rng[ind0:ind1]
f = UnivariateSpline(rng, dop)
imgDop = f(imgRng)
dr = imgRng[1] - imgRng[0]
pix = (imgRng - imgRng[0]) / dr
fit = np.polyfit(pix, imgDop, 41)
self.frame._dopplerVsPixel = list(fit[::-1])
####insarApp style (doesn't get used for stripmapApp). A fixed Doppler at the middle of the scene
quadratic = {}
quadratic['a'] = imgDop[int(
imgDop.shape[0] /
2)] / self.frame.getInstrument().getPulseRepetitionFrequency()
quadratic['b'] = 0.
quadratic['c'] = 0.
return quadratic
class Sentinel1A(Component):
"""
A Class representing RadarSAT 2 data
"""
def __init__(self):
Component.__init__(self)
self.xml = None
self.tiff = None
self.orbitfile = None
self.output = None
self.frame = Frame()
self.frame.configure()
self._xml_root = None
self.descriptionOfVariables = {}
self.dictionaryOfVariables = {
'XML': ['self.xml', 'str', 'mandatory'],
'TIFF': ['self.tiff', 'str', 'mandatory'],
'ORBITFILE': ['self.orbitfile', 'str', 'optional'],
'OUTPUT': ['self.output', 'str', 'optional']
}
def getFrame(self):
return self.frame
def parse(self):
try:
fp = open(self.xml, 'r')
except IOError as strerr:
print("IOError: %s" % strerr)
return
self._xml_root = ElementTree(file=fp).getroot()
# self.product.set_from_etnode(self._xml_root)
self.populateMetadata()
fp.close()
def grab_from_xml(self, path):
try:
res = self._xml_root.find(path).text
except:
raise Exception('Tag= %s not found' % (path))
if res is None:
raise Exception('Tag = %s not found' % (path))
return res
def convertToDateTime(self, string):
dt = datetime.datetime.strptime(string, "%Y-%m-%dT%H:%M:%S.%f")
return dt
def populateMetadata(self):
"""
Create metadata objects from the metadata files
"""
####Set each parameter one - by - one
mission = self.grab_from_xml('adsHeader/missionId')
swath = self.grab_from_xml('adsHeader/swath')
polarization = self.grab_from_xml('adsHeader/polarisation')
frequency = float(
self.grab_from_xml(
'generalAnnotation/productInformation/radarFrequency'))
passDirection = self.grab_from_xml(
'generalAnnotation/productInformation/pass')
rangePixelSize = float(
self.grab_from_xml(
'imageAnnotation/imageInformation/rangePixelSpacing'))
azimuthPixelSize = float(
self.grab_from_xml(
'imageAnnotation/imageInformation/azimuthPixelSpacing'))
rangeSamplingRate = Const.c / (2.0 * rangePixelSize)
prf = 1.0 / float(
self.grab_from_xml(
'imageAnnotation/imageInformation/azimuthTimeInterval'))
lines = int(
self.grab_from_xml(
'imageAnnotation/imageInformation/numberOfLines'))
samples = int(
self.grab_from_xml(
'imageAnnotation/imageInformation/numberOfSamples'))
startingRange = float(
self.grab_from_xml(
'imageAnnotation/imageInformation/slantRangeTime')
) * Const.c / 2.0
incidenceAngle = float(
self.grab_from_xml(
'imageAnnotation/imageInformation/incidenceAngleMidSwath'))
dataStartTime = self.convertToDateTime(
self.grab_from_xml(
'imageAnnotation/imageInformation/productFirstLineUtcTime'))
dataStopTime = self.convertToDateTime(
self.grab_from_xml(
'imageAnnotation/imageInformation/productLastLineUtcTime'))
pulseLength = float(
self.grab_from_xml(
'generalAnnotation/downlinkInformationList/downlinkInformation/downlinkValues/txPulseLength'
))
chirpSlope = float(
self.grab_from_xml(
'generalAnnotation/downlinkInformationList/downlinkInformation/downlinkValues/txPulseRampRate'
))
pulseBandwidth = pulseLength * chirpSlope
####Sentinel is always right looking
lookSide = -1
facility = 'EU'
version = '1.0'
# height = self.product.imageGenerationParameters.sarProcessingInformation._satelliteHeight
####Populate platform
platform = self.frame.getInstrument().getPlatform()
platform.setPlanet(Planet(pname="Earth"))
platform.setMission(mission)
platform.setPointingDirection(lookSide)
platform.setAntennaLength(2 * azimuthPixelSize)
####Populate instrument
instrument = self.frame.getInstrument()
instrument.setRadarFrequency(frequency)
instrument.setPulseRepetitionFrequency(prf)
instrument.setPulseLength(pulseLength)
instrument.setChirpSlope(pulseBandwidth / pulseLength)
instrument.setIncidenceAngle(incidenceAngle)
#self.frame.getInstrument().setRangeBias(0)
instrument.setRangePixelSize(rangePixelSize)
instrument.setRangeSamplingRate(rangeSamplingRate)
instrument.setBeamNumber(swath)
instrument.setPulseLength(pulseLength)
#Populate Frame
#self.frame.setSatelliteHeight(height)
self.frame.setSensingStart(dataStartTime)
self.frame.setSensingStop(dataStopTime)
diffTime = DTUtil.timeDeltaToSeconds(dataStopTime -
dataStartTime) / 2.0
sensingMid = dataStartTime + datetime.timedelta(
microseconds=int(diffTime * 1e6))
self.frame.setSensingMid(sensingMid)
self.frame.setPassDirection(passDirection)
self.frame.setPolarization(polarization)
self.frame.setStartingRange(startingRange)
self.frame.setFarRange(startingRange + (samples - 1) * rangePixelSize)
self.frame.setNumberOfLines(lines)
self.frame.setNumberOfSamples(samples)
self.frame.setProcessingFacility(facility)
self.frame.setProcessingSoftwareVersion(version)
self.frame.setPassDirection(passDirection)
ResOrbFlag = self.extractResOrbit()
if ResOrbFlag == 0:
print(
"cannot find POD Restituted Orbit, using orbit coming along with SLC"
)
self.extractOrbit()
######################################################################################
def extractResOrbit(self):
#read ESA's POD Restituted Orbit by Cunren Liang, APR. 2, 2015.
import pathlib
useResOrbFlag = 0
ResOrbDir = os.environ.get('RESORB')
if ResOrbDir != None:
print("Trying to find POD Restituted Orbit...")
#get start time and stop time of the SLC data from data xml file
dataStartTime = self.convertToDateTime(
self.grab_from_xml(
'imageAnnotation/imageInformation/productFirstLineUtcTime')
)
dataStopTime = self.convertToDateTime(
self.grab_from_xml(
'imageAnnotation/imageInformation/productLastLineUtcTime'))
#RESORB has an orbit every 10 sec, extend the start and stop time by 50 sec.
dataStartTimeExt = dataStartTime - datetime.timedelta(0, 50)
dataStopTimeExt = dataStopTime + datetime.timedelta(0, 50)
###########################
#deal with orbit directory
###########################
orbList = pathlib.Path(ResOrbDir).glob('**/*.EOF')
for orb in orbList:
#save full path
orb = str(orb)
orbx = orb
#get orbit file name
orb = os.path.basename(os.path.normpath(orb))
#print("{0}".format(orb))
#get start and stop time of the orbit file
orbStartTime = datetime.datetime.strptime(
orb[42:57], "%Y%m%dT%H%M%S")
orbStopTime = datetime.datetime.strptime(
orb[58:73], "%Y%m%dT%H%M%S")
#print("{0}, {1}".format(orbStartTime, orbStopTime))
if dataStartTimeExt >= orbStartTime and dataStopTimeExt <= orbStopTime:
try:
orbfp = open(orbx, 'r')
except IOError as strerr:
print("IOError: %s" % strerr)
return useResOrbFlag
orbxml = ElementTree(file=orbfp).getroot()
print('using orbit file: {0}'.format(orbx))
frameOrbit = Orbit()
frameOrbit.setOrbitSource('Restituted')
#find the orbit data from the file, and use them
node = orbxml.find('Data_Block/List_of_OSVs'
) #note upper case and lower case
for child in node.getchildren():
timestamp = self.convertToDateTime(
child.find('UTC').text[4:])
if timestamp < dataStartTimeExt:
continue
if timestamp > dataStopTimeExt:
break
pos = []
vel = []
for tag in ['X', 'Y', 'Z']:
pos.append(float(child.find(tag).text))
vel.append(float(child.find('V' + tag).text))
vec = StateVector()
vec.setTime(timestamp)
vec.setPosition(pos)
vec.setVelocity(vel)
frameOrbit.addStateVector(vec)
#there is no need to extend the orbit any longer
#planet = self.frame.instrument.platform.planet
#orbExt = OrbitExtender(planet=planet)
#orbExt.configure()
#newOrb = orbExt.extendOrbit(frameOrbit)
self.frame.getOrbit().setOrbitSource('Restituted')
for sv in frameOrbit:
self.frame.getOrbit().addStateVector(sv)
orbfp.close()
useResOrbFlag = 1
break
return useResOrbFlag
######################################################################################
def extractOrbit(self):
'''
Extract orbit information from xml node.
'''
node = self._xml_root.find('generalAnnotation/orbitList')
frameOrbit = Orbit()
frameOrbit.setOrbitSource('Header')
for child in node.getchildren():
timestamp = self.convertToDateTime(child.find('time').text)
pos = []
vel = []
posnode = child.find('position')
velnode = child.find('velocity')
for tag in ['x', 'y', 'z']:
pos.append(float(posnode.find(tag).text))
for tag in ['x', 'y', 'z']:
vel.append(float(velnode.find(tag).text))
vec = StateVector()
vec.setTime(timestamp)
vec.setPosition(pos)
vec.setVelocity(vel)
frameOrbit.addStateVector(vec)
planet = self.frame.instrument.platform.planet
orbExt = OrbitExtender(planet=planet)
orbExt.configure()
newOrb = orbExt.extendOrbit(frameOrbit)
self.frame.getOrbit().setOrbitSource('Header')
for sv in newOrb:
self.frame.getOrbit().addStateVector(sv)
return
def extractPreciseOrbit(self):
'''
Extract precise orbit from given Orbit file.
'''
try:
fp = open(self.orbitfile, 'r')
except IOError as strerr:
print("IOError: %s" % strerr)
return
_xml_root = ElementTree(file=fp).getroot()
node = _xml_root.find('Data_Block/List_of_OSVs')
orb = Orbit()
orb.configure()
margin = datetime.timedelta(seconds=40.0)
tstart = self.frame.getSensingStart() - margin
tend = self.frame.getSensingStop() + margin
for child in node.getchildren():
timestamp = self.convertToDateTime(child.find('UTC').text[4:])
if (timestamp >= tstart) and (timestamp < tend):
pos = []
vel = []
for tag in ['VX', 'VY', 'VZ']:
vel.append(float(child.find(tag).text))
for tag in ['X', 'Y', 'Z']:
pos.append(float(child.find(tag).text))
vec = StateVector()
vec.setTime(timestamp)
vec.setPosition(pos)
vec.setVelocity(vel)
orb.addStateVector(vec)
fp.close()
self.frame.getOrbit().setOrbitSource('Header')
for sv in orb:
self.frame.getOrbit().addStateVector(sv)
return
def extractImage(self):
"""
Use gdal python bindings to extract image
"""
try:
from osgeo import gdal
except ImportError:
raise Exception(
'GDAL python bindings not found. Need this for RSAT2/ TandemX / Sentinel1A.'
)
self.parse()
width = self.frame.getNumberOfSamples()
lgth = self.frame.getNumberOfLines()
src = gdal.Open(self.tiff.strip(), gdal.GA_ReadOnly)
band = src.GetRasterBand(1)
fid = open(self.output, 'wb')
for ii in range(lgth):
data = band.ReadAsArray(0, ii, width, 1)
data.tofile(fid)
fid.close()
src = None
band = None
####
slcImage = isceobj.createSlcImage()
slcImage.setByteOrder('l')
slcImage.setFilename(self.output)
slcImage.setAccessMode('read')
slcImage.setWidth(self.frame.getNumberOfSamples())
slcImage.setLength(self.frame.getNumberOfLines())
slcImage.setXmin(0)
slcImage.setXmax(self.frame.getNumberOfSamples())
self.frame.setImage(slcImage)
def extractDoppler(self):
'''
self.parse()
Extract doppler information as needed by mocomp
'''
# ins = self.frame.getInstrument()
# dc = self.product.imageGenerationParameters.dopplerCentroid
quadratic = {}
# r0 = self.frame.startingRange
# fs = ins.getRangeSamplingRate()
# tNear = 2*r0/Const.c
# tMid = tNear + 0.5*self.frame.getNumberOfSamples()/fs
# t0 = dc.dopplerCentroidReferenceTime
# poly = dc.dopplerCentroidCoefficients
# fd_mid = 0.0
# for kk in range(len(poly)):
# fd_mid += poly[kk] * (tMid - t0)**kk
# quadratic['a'] = fd_mid / ins.getPulseRepetitionFrequency()
quadratic['a'] = 0.
quadratic['b'] = 0.
quadratic['c'] = 0.
return quadratic
class Radarsat2(Sensor):
"""
A Class representing RADARSAT 2 data
"""
family = 'radarsat2'
parameter_list = (XML, TIFF) + Sensor.parameter_list
def __init__(self, family='', name=''):
super().__init__(family if family else self.__class__.family,
name=name)
self.product = _Product()
self.frame = Frame()
self.frame.configure()
def getFrame(self):
return self.frame
def parse(self):
try:
fp = open(self.xml, 'r')
except IOError as strerr:
print("IOError: %s" % strerr)
return
self._xml_root = ElementTree(file=fp).getroot()
self.product.set_from_etnode(self._xml_root)
self.populateMetadata()
fp.close()
def populateMetadata(self):
"""
Create metadata objects from the metadata files
"""
mission = self.product.sourceAttributes.satellite
swath = self.product.sourceAttributes.radarParameters.beams
frequency = self.product.sourceAttributes.radarParameters.radarCenterFrequency
orig_prf = self.product.sourceAttributes.radarParameters.prf # original PRF not necessarily effective PRF
rangePixelSize = self.product.imageAttributes.rasterAttributes.sampledPixelSpacing
rangeSamplingRate = Const.c / (2 * rangePixelSize)
pulseLength = self.product.sourceAttributes.radarParameters.pulseLengths[
0]
pulseBandwidth = self.product.sourceAttributes.radarParameters.pulseBandwidths[
0]
polarization = self.product.sourceAttributes.radarParameters.polarizations
lookSide = lookMap[self.product.sourceAttributes.radarParameters.
antennaPointing.upper()]
facility = self.product.imageGenerationParameters.generalProcessingInformation._processingFacility
version = self.product.imageGenerationParameters.generalProcessingInformation.softwareVersion
lines = self.product.imageAttributes.rasterAttributes.numberOfLines
samples = self.product.imageAttributes.rasterAttributes.numberOfSamplesPerLine
startingRange = self.product.imageGenerationParameters.slantRangeToGroundRange.slantRangeTimeToFirstRangeSample * (
Const.c / 2)
incidenceAngle = (self.product.imageGenerationParameters.
sarProcessingInformation.incidenceAngleNearRange +
self.product.imageGenerationParameters.
sarProcessingInformation.incidenceAngleFarRange) / 2
# some RS2 scenes have oversampled SLC images because processed azimuth bandwidth larger than PRF EJF 2015/08/15
azimuthPixelSize = self.product.imageAttributes.rasterAttributes.sampledLineSpacing # ground spacing in meters
totalProcessedAzimuthBandwidth = self.product.imageGenerationParameters.sarProcessingInformation.totalProcessedAzimuthBandwidth
prf = orig_prf * np.ceil(
totalProcessedAzimuthBandwidth / orig_prf
) # effective PRF can be double original, suggested by Piyush
print("effective PRF %f, original PRF %f" % (prf, orig_prf))
lineFlip = (self.product.imageAttributes.rasterAttributes.
lineTimeOrdering.upper() == 'DECREASING')
if lineFlip:
dataStopTime = self.product.imageGenerationParameters.sarProcessingInformation.zeroDopplerTimeFirstLine
dataStartTime = self.product.imageGenerationParameters.sarProcessingInformation.zeroDopplerTimeLastLine
else:
dataStartTime = self.product.imageGenerationParameters.sarProcessingInformation.zeroDopplerTimeFirstLine
dataStopTime = self.product.imageGenerationParameters.sarProcessingInformation.zeroDopplerTimeLastLine
passDirection = self.product.sourceAttributes.orbitAndAttitude.orbitInformation.passDirection
height = self.product.imageGenerationParameters.sarProcessingInformation._satelliteHeight
####Populate platform
platform = self.frame.getInstrument().getPlatform()
platform.setPlanet(Planet(pname="Earth"))
platform.setMission(mission)
platform.setPointingDirection(lookSide)
platform.setAntennaLength(15.0)
####Populate instrument
instrument = self.frame.getInstrument()
instrument.setRadarFrequency(frequency)
instrument.setPulseRepetitionFrequency(prf)
instrument.setPulseLength(pulseLength)
instrument.setChirpSlope(pulseBandwidth / pulseLength)
instrument.setIncidenceAngle(incidenceAngle)
#self.frame.getInstrument().setRangeBias(0)
instrument.setRangePixelSize(rangePixelSize)
instrument.setRangeSamplingRate(rangeSamplingRate)
instrument.setBeamNumber(swath)
instrument.setPulseLength(pulseLength)
#Populate Frame
#self.frame.setSatelliteHeight(height)
self.frame.setSensingStart(dataStartTime)
self.frame.setSensingStop(dataStopTime)
diffTime = DTUtil.timeDeltaToSeconds(dataStopTime -
dataStartTime) / 2.0
sensingMid = dataStartTime + datetime.timedelta(
microseconds=int(diffTime * 1e6))
self.frame.setSensingMid(sensingMid)
self.frame.setPassDirection(passDirection)
self.frame.setPolarization(polarization)
self.frame.setStartingRange(startingRange)
self.frame.setFarRange(startingRange + (samples - 1) * rangePixelSize)
self.frame.setNumberOfLines(lines)
self.frame.setNumberOfSamples(samples)
self.frame.setProcessingFacility(facility)
self.frame.setProcessingSoftwareVersion(version)
# Initialize orbit objects
# Read into temp orbit first.
# Radarsat 2 needs orbit extensions.
tempOrbit = Orbit()
self.frame.getOrbit().setOrbitSource(
'Header: ' + self.product.sourceAttributes.orbitAndAttitude.
orbitInformation.orbitDataFile)
self.frame.setPassDirection(passDirection)
stateVectors = self.product.sourceAttributes.orbitAndAttitude.orbitInformation.stateVectors
for i in range(len(stateVectors)):
position = [
stateVectors[i].xPosition, stateVectors[i].yPosition,
stateVectors[i].zPosition
]
velocity = [
stateVectors[i].xVelocity, stateVectors[i].yVelocity,
stateVectors[i].zVelocity
]
vec = StateVector()
vec.setTime(stateVectors[i].timeStamp)
vec.setPosition(position)
vec.setVelocity(velocity)
tempOrbit.addStateVector(vec)
planet = self.frame.instrument.platform.planet
orbExt = OrbitExtender(planet=planet)
orbExt.configure()
newOrb = orbExt.extendOrbit(tempOrbit)
for sv in newOrb:
self.frame.getOrbit().addStateVector(sv)
# save the Doppler centroid coefficients, converting units from product.xml file
# units in the file are quadratic coefficients in Hz, Hz/sec, and Hz/(sec^2)
# ISCE expects Hz, Hz/(range sample), Hz((range sample)^2
# note that RS2 Doppler values are estimated at time dc.dopplerCentroidReferenceTime,
# so the values might need to be adjusted for ISCE usage
# added EJF 2015/08/17
dc = self.product.imageGenerationParameters.dopplerCentroid
poly = dc.dopplerCentroidCoefficients
# need to convert units
poly[1] = poly[1] / rangeSamplingRate
poly[2] = poly[2] / rangeSamplingRate**2
self.doppler_coeff = poly
# similarly save Doppler azimuth fm rate values, converting units
# units in the file are quadratic coefficients in Hz, Hz/sec, and Hz/(sec^2)
# Guessing that ISCE expects Hz, Hz/(range sample), Hz((range sample)^2
# note that RS2 Doppler values are estimated at time dc.dopplerRateReferenceTime,
# so the values might need to be adjusted for ISCE usage
# added EJF 2015/08/17
dr = self.product.imageGenerationParameters.dopplerRateValues
fmpoly = dr.dopplerRateValuesCoefficients
# need to convert units
fmpoly[1] = fmpoly[1] / rangeSamplingRate
fmpoly[2] = fmpoly[2] / rangeSamplingRate**2
self.azfmrate_coeff = fmpoly
# now calculate effective PRF from the azimuth line spacing after we have the orbit info EJF 2015/08/15
# this does not work because azimuth spacing is on ground. Instead use bandwidth ratio calculated above EJF
# SCHvelocity = self.frame.getSchVelocity()
# SCHvelocity = 7550.75 # hard code orbit velocity for now m/s
# prf = SCHvelocity/azimuthPixelSize
# instrument.setPulseRepetitionFrequency(prf)
def extractImage(self, verbose=True):
'''
Use gdal to extract the slc.
'''
try:
from osgeo import gdal
except ImportError:
raise Exception(
'GDAL python bindings not found. Need this for RSAT2 / TandemX / Sentinel1A.'
)
self.parse()
width = self.frame.getNumberOfSamples()
lgth = self.frame.getNumberOfLines()
lineFlip = (self.product.imageAttributes.rasterAttributes.
lineTimeOrdering.upper() == 'DECREASING')
pixFlip = (self.product.imageAttributes.rasterAttributes.
pixelTimeOrdering.upper() == 'DECREASING')
src = gdal.Open(self.tiff.strip(), gdal.GA_ReadOnly)
cJ = np.complex64(1.0j)
####Images are small enough that we can do it all in one go - Piyush
real = src.GetRasterBand(1).ReadAsArray(0, 0, width, lgth)
imag = src.GetRasterBand(2).ReadAsArray(0, 0, width, lgth)
if (real is None) or (imag is None):
raise Exception(
'Input Radarsat2 SLC seems to not be a 2 band Int16 image.')
data = real + cJ * imag
real = None
imag = None
src = None
if lineFlip:
if verbose:
print('Vertically Flipping data')
data = np.flipud(data)
if pixFlip:
if verbose:
print('Horizontally Flipping data')
data = np.fliplr(data)
data.tofile(self.output)
####
slcImage = isceobj.createSlcImage()
slcImage.setByteOrder('l')
slcImage.setFilename(self.output)
slcImage.setAccessMode('read')
slcImage.setWidth(width)
slcImage.setLength(lgth)
slcImage.setXmin(0)
slcImage.setXmax(width)
# slcImage.renderHdr()
self.frame.setImage(slcImage)
def extractDoppler(self):
'''
self.parse()
Extract doppler information as needed by mocomp
'''
ins = self.frame.getInstrument()
dc = self.product.imageGenerationParameters.dopplerCentroid
quadratic = {}
r0 = self.frame.startingRange
fs = ins.getRangeSamplingRate()
tNear = 2 * r0 / Const.c
tMid = tNear + 0.5 * self.frame.getNumberOfSamples() / fs
t0 = dc.dopplerCentroidReferenceTime
poly = dc.dopplerCentroidCoefficients
fd_mid = 0.0
for kk in range(len(poly)):
fd_mid += poly[kk] * (tMid - t0)**kk
####For insarApp
quadratic['a'] = fd_mid / ins.getPulseRepetitionFrequency()
quadratic['b'] = 0.
quadratic['c'] = 0.
####For roiApp
####More accurate
from isceobj.Util import Poly1D
coeffs = poly
dr = self.frame.getInstrument().getRangePixelSize()
rref = 0.5 * Const.c * t0
r0 = self.frame.getStartingRange()
norm = 0.5 * Const.c / dr
dcoeffs = []
for ind, val in enumerate(coeffs):
dcoeffs.append(val / (norm**ind))
poly = Poly1D.Poly1D()
poly.initPoly(order=len(coeffs) - 1)
poly.setMean((rref - r0) / dr - 1.0)
poly.setCoeffs(dcoeffs)
pix = np.linspace(0,
self.frame.getNumberOfSamples(),
num=len(coeffs) + 1)
evals = poly(pix)
fit = np.polyfit(pix, evals, len(coeffs) - 1)
self.frame._dopplerVsPixel = list(fit[::-1])
print('Doppler Fit: ', fit[::-1])
return quadratic
class KOMPSAT5(Component):
"""
A class representing a Level1Product meta data.
Level1Product(hdf5=h5filename) will parse the hdf5
file and produce an object with attributes for metadata.
"""
logging_name = 'isce.Sensor.KOMPSAT5'
def __init__(self):
super(KOMPSAT5,self).__init__()
self.hdf5 = None
self.output = None
self.frame = Frame()
self.frame.configure()
# Some extra processing parameters unique to CSK SLC (currently)
self.dopplerCoeffs = []
self.rangeFirstTime = None
self.rangeLastTime = None
self.rangeRefTime = None
self.refUTC = None
self.descriptionOfVariables = {}
self.dictionaryOfVariables = {'HDF5': ['self.hdf5','str','mandatory'],
'OUTPUT': ['self.output','str','optional']}
self.lookMap = {'RIGHT': -1,
'LEFT': 1}
return
def __getstate__(self):
d = dict(self.__dict__)
del d['logger']
return d
def __setstate__(self,d):
self.__dict__.update(d)
self.logger = logging.getLogger('isce.Sensor.COSMO_SkyMed_SLC')
return
def getFrame(self):
return self.frame
def parse(self):
try:
fp = h5py.File(self.hdf5,'r')
except Exception as strerr:
self.logger.error("IOError: %s" % strerr)
return None
self.populateMetadata(fp)
fp.close()
def populateMetadata(self, file):
"""
Populate our Metadata objects
"""
self._populatePlatform(file)
self._populateInstrument(file)
self._populateFrame(file)
self._populateOrbit(file)
self._populateExtras(file)
def _populatePlatform(self, file):
platform = self.frame.getInstrument().getPlatform()
platform.setMission(file.attrs['Satellite ID'])
platform.setPointingDirection(self.lookMap[file.attrs['Look Side'].decode('utf-8')])
platform.setPlanet(Planet("Earth"))
####This is an approximation for spotlight mode
####In spotlight mode, antenna length changes with azimuth position
platform.setAntennaLength(file.attrs['Antenna Length'])
try:
if file.attrs['Multi-Beam ID'].startswith('ES'):
platform.setAntennaLength(16000.0/file['S01/SBI'].attrs['Line Time Interval'])
except:
pass
def _populateInstrument(self, file):
instrument = self.frame.getInstrument()
# rangePixelSize = Const.c/(2*file['S01'].attrs['Sampling Rate'])
rangePixelSize = file['S01/SBI'].attrs['Column Spacing']
instrument.setRadarWavelength(file.attrs['Radar Wavelength'])
# instrument.setPulseRepetitionFrequency(file['S01'].attrs['PRF'])
instrument.setPulseRepetitionFrequency(1.0/file['S01/SBI'].attrs['Line Time Interval'])
instrument.setRangePixelSize(rangePixelSize)
instrument.setPulseLength(file['S01'].attrs['Range Chirp Length'])
instrument.setChirpSlope(file['S01'].attrs['Range Chirp Rate'])
# instrument.setRangeSamplingRate(file['S01'].attrs['Sampling Rate'])
instrument.setRangeSamplingRate(1.0/file['S01/SBI'].attrs['Column Time Interval'])
incangle = 0.5*(file['S01/SBI'].attrs['Far Incidence Angle'] +
file['S01/SBI'].attrs['Near Incidence Angle'])
instrument.setIncidenceAngle(incangle)
def _populateFrame(self, file):
rft = file['S01/SBI'].attrs['Zero Doppler Range First Time']
slantRange = rft*Const.c/2.0
self.frame.setStartingRange(slantRange)
referenceUTC = self._parseNanoSecondTimeStamp(file.attrs['Reference UTC'])
relStart = file['S01/SBI'].attrs['Zero Doppler Azimuth First Time']
relEnd = file['S01/SBI'].attrs['Zero Doppler Azimuth Last Time']
relMid = 0.5*(relStart + relEnd)
sensingStart = self._combineDateTime(referenceUTC, relStart)
sensingStop = self._combineDateTime(referenceUTC, relEnd)
sensingMid = self._combineDateTime(referenceUTC, relMid)
self.frame.setPassDirection(file.attrs['Orbit Direction'])
self.frame.setOrbitNumber(file.attrs['Orbit Number'])
self.frame.setProcessingFacility(file.attrs['Processing Centre'])
self.frame.setProcessingSoftwareVersion(file.attrs['L0 Software Version'])
self.frame.setPolarization(file['S01'].attrs['Polarisation'])
self.frame.setNumberOfLines(file['S01/SBI'].shape[0])
self.frame.setNumberOfSamples(file['S01/SBI'].shape[1])
self.frame.setSensingStart(sensingStart)
self.frame.setSensingMid(sensingMid)
self.frame.setSensingStop(sensingStop)
rangePixelSize = self.frame.getInstrument().getRangePixelSize()
farRange = slantRange + (self.frame.getNumberOfSamples()-1)*rangePixelSize
self.frame.setFarRange(farRange)
def _populateOrbit(self,file):
orbit = self.frame.getOrbit()
orbit.setReferenceFrame('ECR')
orbit.setOrbitSource('Header')
t0 = datetime.datetime.strptime(file.attrs['Reference UTC'].decode('utf-8'),'%Y-%m-%d %H:%M:%S.%f000')
t = file.attrs['State Vectors Times']
position = file.attrs['ECEF Satellite Position']
velocity = file.attrs['ECEF Satellite Velocity']
for i in range(len(position)):
vec = StateVector()
dt = t0 + datetime.timedelta(seconds=t[i])
vec.setTime(dt)
vec.setPosition([position[i,0],position[i,1],position[i,2]])
vec.setVelocity([velocity[i,0],velocity[i,1],velocity[i,2]])
orbit.addStateVector(vec)
def _populateExtras(self, file):
"""
Populate some of the extra fields unique to processing TSX data.
In the future, other sensors may need this information as well,
and a re-organization may be necessary.
"""
from isceobj.Doppler.Doppler import Doppler
scale = file['S01'].attrs['PRF'] * file['S01/SBI'].attrs['Line Time Interval']
self.dopplerCoeffs = file.attrs['Centroid vs Range Time Polynomial']*scale
self.rangeRefTime = file.attrs['Range Polynomial Reference Time']
self.rangeFirstTime = file['S01/SBI'].attrs['Zero Doppler Range First Time']
self.rangeLastTime = file['S01/SBI'].attrs['Zero Doppler Range Last Time']
def extractImage(self):
import os
from ctypes import cdll, c_char_p
extract_csk = cdll.LoadLibrary(os.path.dirname(__file__)+'/csk.so')
inFile_c = c_char_p(bytes(self.hdf5, 'utf-8'))
outFile_c = c_char_p(bytes(self.output, 'utf-8'))
extract_csk.extract_csk_slc(inFile_c, outFile_c)
self.parse()
slcImage = isceobj.createSlcImage()
slcImage.setFilename(self.output)
slcImage.setXmin(0)
slcImage.setXmax(self.frame.getNumberOfSamples())
slcImage.setWidth(self.frame.getNumberOfSamples())
slcImage.setAccessMode('r')
self.frame.setImage(slcImage)
def _parseNanoSecondTimeStamp(self,timestamp):
"""
Parse a date-time string with nanosecond precision and return a datetime object
"""
dateTime,nanoSeconds = timestamp.decode('utf-8').split('.')
microsec = float(nanoSeconds)*1e-3
dt = datetime.datetime.strptime(dateTime,'%Y-%m-%d %H:%M:%S')
dt = dt + datetime.timedelta(microseconds=microsec)
return dt
def _combineDateTime(self,dobj, secsstr):
'''Takes the date from dobj and time from secs to spit out a date time object.
'''
sec = float(secsstr)
dt = datetime.timedelta(seconds = sec)
return dobj + dt
def extractDoppler(self):
"""
Return the doppler centroid as defined in the HDF5 file.
"""
quadratic = {}
midtime = (self.rangeLastTime + self.rangeFirstTime)*0.5 - self.rangeRefTime
fd_mid = self.dopplerCoeffs[0] + self.dopplerCoeffs[1]*midtime + self.dopplerCoeffs[2]*midtime*midtime
quadratic['a'] = fd_mid/self.frame.getInstrument().getPulseRepetitionFrequency()
quadratic['b'] = 0.
quadratic['c'] = 0.
return quadratic
class Sentinel1A(Component):
"""
A Class representing RadarSAT 2 data
"""
def __init__(self):
Component.__init__(self)
self.xml = None
self.tiff = None
self.output = None
self.gdal_translate = None
self.frame = Frame()
self.frame.configure()
self._xml_root = None
self.descriptionOfVariables = {}
self.dictionaryOfVariables = {
'XML': ['self.xml', 'str', 'mandatory'],
'TIFF': ['self.tiff', 'str', 'mandatory'],
'OUTPUT': ['self.output', 'str', 'optional'],
'GDAL_TRANSLATE': ['self.gdal_translate', 'str', 'optional']
}
def getFrame(self):
return self.frame
def parse(self):
try:
fp = open(self.xml, 'r')
except IOError as strerr:
print("IOError: %s" % strerr)
return
self._xml_root = ElementTree(file=fp).getroot()
# self.product.set_from_etnode(self._xml_root)
self.populateMetadata()
fp.close()
def grab_from_xml(self, path):
try:
res = self._xml_root.find(path).text
except:
raise Exception('Tag= %s not found' % (path))
if res is None:
raise Exception('Tag = %s not found' % (path))
return res
def convertToDateTime(self, string):
dt = datetime.datetime.strptime(string, "%Y-%m-%dT%H:%M:%S.%f")
return dt
def populateMetadata(self):
"""
Create metadata objects from the metadata files
"""
####Set each parameter one - by - one
mission = self.grab_from_xml('adsHeader/missionId')
swath = self.grab_from_xml('adsHeader/swath')
polarization = self.grab_from_xml('adsHeader/polarisation')
frequency = float(
self.grab_from_xml(
'generalAnnotation/productInformation/radarFrequency'))
passDirection = self.grab_from_xml(
'generalAnnotation/productInformation/pass')
rangePixelSize = float(
self.grab_from_xml(
'imageAnnotation/imageInformation/rangePixelSpacing'))
azimuthPixelSize = float(
self.grab_from_xml(
'imageAnnotation/imageInformation/azimuthPixelSpacing'))
rangeSamplingRate = Const.c / (2.0 * rangePixelSize)
prf = 1.0 / float(
self.grab_from_xml(
'imageAnnotation/imageInformation/azimuthTimeInterval'))
lines = int(
self.grab_from_xml(
'imageAnnotation/imageInformation/numberOfLines'))
samples = int(
self.grab_from_xml(
'imageAnnotation/imageInformation/numberOfSamples'))
startingRange = float(
self.grab_from_xml(
'imageAnnotation/imageInformation/slantRangeTime')
) * Const.c / 2.0
incidenceAngle = float(
self.grab_from_xml(
'imageAnnotation/imageInformation/incidenceAngleMidSwath'))
dataStartTime = self.convertToDateTime(
self.grab_from_xml(
'imageAnnotation/imageInformation/productFirstLineUtcTime'))
dataStopTime = self.convertToDateTime(
self.grab_from_xml(
'imageAnnotation/imageInformation/productLastLineUtcTime'))
pulseLength = float(
self.grab_from_xml(
'generalAnnotation/downlinkInformationList/downlinkInformation/downlinkValues/txPulseLength'
))
chirpSlope = float(
self.grab_from_xml(
'generalAnnotation/downlinkInformationList/downlinkInformation/downlinkValues/txPulseRampRate'
))
pulseBandwidth = pulseLength * chirpSlope
####Sentinel is always right looking
lookSide = -1
facility = 'EU'
version = '1.0'
# height = self.product.imageGenerationParameters.sarProcessingInformation._satelliteHeight
####Populate platform
platform = self.frame.getInstrument().getPlatform()
platform.setPlanet(Planet("Earth"))
platform.setMission(mission)
platform.setPointingDirection(lookSide)
platform.setAntennaLength(2 * azimuthPixelSize)
####Populate instrument
instrument = self.frame.getInstrument()
instrument.setRadarFrequency(frequency)
instrument.setPulseRepetitionFrequency(prf)
instrument.setPulseLength(pulseLength)
instrument.setChirpSlope(pulseBandwidth / pulseLength)
instrument.setIncidenceAngle(incidenceAngle)
#self.frame.getInstrument().setRangeBias(0)
instrument.setRangePixelSize(rangePixelSize)
instrument.setRangeSamplingRate(rangeSamplingRate)
instrument.setBeamNumber(swath)
instrument.setPulseLength(pulseLength)
#Populate Frame
#self.frame.setSatelliteHeight(height)
self.frame.setSensingStart(dataStartTime)
self.frame.setSensingStop(dataStopTime)
diffTime = DTUtil.timeDeltaToSeconds(dataStopTime -
dataStartTime) / 2.0
sensingMid = dataStartTime + datetime.timedelta(
microseconds=int(diffTime * 1e6))
self.frame.setSensingMid(sensingMid)
self.frame.setPassDirection(passDirection)
self.frame.setPolarization(polarization)
self.frame.setStartingRange(startingRange)
self.frame.setFarRange(startingRange + (samples - 1) * rangePixelSize)
self.frame.setNumberOfLines(lines)
self.frame.setNumberOfSamples(samples)
self.frame.setProcessingFacility(facility)
self.frame.setProcessingSoftwareVersion(version)
self.frame.setPassDirection(passDirection)
self.extractOrbit()
def extractOrbit(self):
'''
Extract orbit information from xml node.
'''
node = self._xml_root.find('generalAnnotation/orbitList')
frameOrbit = self.frame.getOrbit()
frameOrbit.setOrbitSource('Header')
for child in node.getchildren():
timestamp = self.convertToDateTime(child.find('time').text)
pos = []
vel = []
posnode = child.find('position')
velnode = child.find('velocity')
for tag in ['x', 'y', 'z']:
pos.append(float(posnode.find(tag).text))
for tag in ['x', 'y', 'z']:
vel.append(float(velnode.find(tag).text))
vec = StateVector()
vec.setTime(timestamp)
vec.setPosition(pos)
vec.setVelocity(vel)
frameOrbit.addStateVector(vec)
def extractImage(self):
"""
Use gdal_translate to extract the slc
"""
import tempfile
import subprocess
if (not self.gdal_translate):
raise TypeError(
"The path to executable gdal_translate was not specified")
if (not os.path.exists(self.gdal_translate)):
raise OSError("Could not find gdal_translate in directory %s" %
os.path.dirname(self.gdal_translate))
self.parse()
# Use GDAL to convert the geoTIFF file to an raster image
# There should be a way to do this using the GDAL python api
curdir = os.getcwd()
tempdir = tempfile.mkdtemp(dir=curdir)
# os.rmdir(tempdir) # Wasteful, but if the directory exists, gdal_translate freaks out
#instring = 'RADARSAT_2_CALIB:UNCALIB:%s' % self.xml
#process = subprocess.Popen([self.gdal_translate,'-of','MFF2','-ot','CFloat32',instring,tempdir])
if (self.tiff is None) or (not os.path.exists(self.tiff)):
raise Exception(
'Path to input tiff file: %s is wrong or file doesnt exist.' %
(self.tiff))
process = subprocess.Popen([
self.gdal_translate,
self.tiff.strip(), '-of', 'ENVI', '-ot', 'CFloat32', '-co',
'INTERLEAVE=BIP',
os.path.join(tempdir, 'image_data')
])
process.wait()
# Move the output of the gdal_translate call to a reasonable file name
width = self.frame.getNumberOfSamples()
lgth = self.frame.getNumberOfLines()
os.rename(os.path.join(tempdir, 'image_data'), self.output)
# os.unlink(os.path.join(tempdir,'attrib'))
os.unlink(os.path.join(tempdir, 'image_data.hdr'))
os.rmdir(tempdir)
####
slcImage = isceobj.createSlcImage()
slcImage.setByteOrder('l')
slcImage.setFilename(self.output)
slcImage.setAccessMode('read')
slcImage.setWidth(self.frame.getNumberOfSamples())
slcImage.setLength(self.frame.getNumberOfLines())
slcImage.setXmin(0)
slcImage.setXmax(self.frame.getNumberOfSamples())
self.frame.setImage(slcImage)
def extractDoppler(self):
'''
self.parse()
Extract doppler information as needed by mocomp
'''
# ins = self.frame.getInstrument()
# dc = self.product.imageGenerationParameters.dopplerCentroid
quadratic = {}
# r0 = self.frame.startingRange
# fs = ins.getRangeSamplingRate()
# tNear = 2*r0/Const.c
# tMid = tNear + 0.5*self.frame.getNumberOfSamples()/fs
# t0 = dc.dopplerCentroidReferenceTime
# poly = dc.dopplerCentroidCoefficients
# fd_mid = 0.0
# for kk in range(len(poly)):
# fd_mid += poly[kk] * (tMid - t0)**kk
# quadratic['a'] = fd_mid / ins.getPulseRepetitionFrequency()
quadratic['a'] = 0.
quadratic['b'] = 0.
quadratic['c'] = 0.
return quadratic
class SAOCOM_SLC(Sensor):
parameter_list = (IMAGEFILE,
XEMTFILE,
XMLFILE) + Sensor.parameter_list
"""
A Class for parsing SAOCOM instrument and imagery files
"""
family = 'saocom_slc'
def __init__(self,family='',name=''):
super(SAOCOM_SLC, self).__init__(family if family else self.__class__.family, name=name)
self._imageFile = None
self._xemtFileParser = None
self._xmlFileParser = None
self._instrumentFileData = None
self._imageryFileData = None
self.dopplerRangeTime = None
self.rangeRefTime = None
self.azimuthRefTime = None
self.rangeFirstTime = None
self.rangeLastTime = None
self.logger = logging.getLogger("isce.sensor.SAOCOM_SLC")
self.frame = None
self.frameList = []
self.lookMap = {'RIGHT': -1,
'LEFT': 1}
self.nearIncidenceAngle = {'S1DP': 20.7,
'S2DP': 24.9,
'S3DP': 29.1,
'S4DP': 33.7,
'S5DP': 38.2,
'S6DP': 41.3,
'S7DP': 44.6,
'S8DP': 47.2,
'S9DP': 48.8,
'S1QP': 17.6,
'S2QP': 19.5,
'S3QP': 21.4,
'S4QP': 23.2,
'S5QP': 25.3,
'S6QP': 27.2,
'S7QP': 29.6,
'S8QP': 31.2,
'S9QP': 33.0,
'S10QP': 34.6}
self.farIncidenceAngle = {'S1DP': 25.0,
'S2DP': 29.2,
'S3DP': 33.8,
'S4DP': 38.3,
'S5DP': 41.3,
'S6DP': 44.5,
'S7DP': 47.1,
'S8DP': 48.7,
'S9DP': 50.2,
'S1QP': 19.6,
'S2QP': 21.5,
'S3QP': 23.3,
'S4QP': 25.4,
'S5QP': 27.3,
'S6QP': 29.6,
'S7QP': 31.2,
'S8QP': 33.0,
'S9QP': 34.6,
'S10QP': 35.5}
def parse(self):
"""
Parse both imagery and instrument files and create
objects representing the platform, instrument and scene
"""
self.frame = Frame()
self.frame.configure()
self._xemtFileParser = XEMTFile(fileName=self.xemtFile)
self._xemtFileParser.parse()
self._xmlFileParser = XMLFile(fileName=self.xmlFile)
self._xmlFileParser.parse()
self.populateMetadata()
def populateMetadata(self):
self._populatePlatform()
self._populateInstrument()
self._populateFrame()
self._populateOrbit()
self._populateExtras()
def _populatePlatform(self):
"""Populate the platform object with metadata"""
platform = self.frame.getInstrument().getPlatform()
# Populate the Platform and Scene objects
platform.setMission(self._xmlFileParser.sensorName)
platform.setPointingDirection(self.lookMap[self._xmlFileParser.sideLooking])
platform.setAntennaLength(9.968)
platform.setPlanet(Planet(pname="Earth"))
def _populateInstrument(self):
"""Populate the instrument object with metadata"""
instrument = self.frame.getInstrument()
rangePixelSize = self._xmlFileParser.PSRng
azimuthPixelSize = self._xmlFileParser.PSAz
radarWavelength = Const.c/float(self._xmlFileParser.fc_hz)
instrument.setRadarWavelength(radarWavelength)
instrument.setPulseRepetitionFrequency(self._xmlFileParser.prf)
instrument.setRangePixelSize(rangePixelSize)
instrument.setAzimuthPixelSize(azimuthPixelSize)
instrument.setPulseLength(self._xmlFileParser.pulseLength)
instrument.setChirpSlope(float(self._xmlFileParser.pulseBandwidth)/float(self._xmlFileParser.pulseLength))
instrument.setRangeSamplingRate(self._xmlFileParser.frg)
incAngle = 0.5*(self.nearIncidenceAngle[self._xemtFileParser.beamID] + self.farIncidenceAngle[self._xemtFileParser.beamID])
instrument.setIncidenceAngle(incAngle)
def _populateFrame(self):
"""Populate the scene object with metadata"""
rft = self._xmlFileParser.rangeStartTime
slantRange = float(rft)*Const.c/2.0
self.frame.setStartingRange(slantRange)
sensingStart = self._parseNanoSecondTimeStamp(self._xmlFileParser.azimuthStartTime)
sensingTime = self._xmlFileParser.lines/self._xmlFileParser.prf
sensingStop = sensingStart + datetime.timedelta(seconds=sensingTime)
sensingMid = sensingStart + datetime.timedelta(seconds=0.5*sensingTime)
self.frame.setPassDirection(self._xmlFileParser.orbitDirection)
self.frame.setProcessingFacility(self._xemtFileParser.facilityID)
self.frame.setProcessingSoftwareVersion(self._xemtFileParser.softVersion)
self.frame.setPolarization(self._xmlFileParser.polarization)
self.frame.setNumberOfLines(self._xmlFileParser.lines)
self.frame.setNumberOfSamples(self._xmlFileParser.samples)
self.frame.setSensingStart(sensingStart)
self.frame.setSensingMid(sensingMid)
self.frame.setSensingStop(sensingStop)
rangePixelSize = self.frame.getInstrument().getRangePixelSize()
farRange = slantRange + (self.frame.getNumberOfSamples()-1)*rangePixelSize
self.frame.setFarRange(farRange)
def _populateOrbit(self):
orbit = self.frame.getOrbit()
orbit.setReferenceFrame('ECR')
orbit.setOrbitSource('Header')
t0 = self._parseNanoSecondTimeStamp(self._xmlFileParser.orbitStartTime)
t = np.arange(self._xmlFileParser.numberSV)*self._xmlFileParser.deltaTimeSV
position = self._xmlFileParser.orbitPositionXYZ
velocity = self._xmlFileParser.orbitVelocityXYZ
for i in range(0,self._xmlFileParser.numberSV):
vec = StateVector()
dt = t0 + datetime.timedelta(seconds=t[i])
vec.setTime(dt)
vec.setPosition([position[i*3],position[i*3+1],position[i*3+2]])
vec.setVelocity([velocity[i*3],velocity[i*3+1],velocity[i*3+2]])
orbit.addStateVector(vec)
print("valor "+str(i)+": "+str(dt))
def _populateExtras(self):
from isceobj.Doppler.Doppler import Doppler
self.dopplerRangeTime = self._xmlFileParser.dopRngTime
self.rangeRefTime = self._xmlFileParser.trg
self.rangeFirstTime = self._xmlFileParser.rangeStartTime
def extractImage(self):
"""
Exports GeoTiff to ISCE format.
"""
from osgeo import gdal
ds = gdal.Open(self._imageFileName)
metadata = ds.GetMetadata()
geoTs = ds.GetGeoTransform() #GeoTransform
prj = ds.GetProjection() #Projection
dataType = ds.GetRasterBand(1).DataType
gcps = ds.GetGCPs()
sds = ds.ReadAsArray()
# Output raster array to ISCE file
driver = gdal.GetDriverByName('ISCE')
export = driver.Create(self.output, ds.RasterXSize, ds.RasterYSize, 1, dataType)
band = export.GetRasterBand(1)
band.WriteArray(sds)
export.SetGeoTransform(geoTs)
export.SetMetadata(metadata)
export.SetProjection(prj)
export.SetGCPs(gcps,prj)
band.FlushCache()
export.FlushCache()
self.parse()
slcImage = isceobj.createSlcImage()
slcImage.setFilename(self.output)
slcImage.setXmin(0)
slcImage.setXmax(self.frame.getNumberOfSamples())
slcImage.setWidth(self.frame.getNumberOfSamples())
slcImage.setAccessMode('r')
self.frame.setImage(slcImage)
def _parseNanoSecondTimeStamp(self,timestamp):
"""
Parse a date-time string with microsecond precision and return a datetime object
"""
dateTime,decSeconds = timestamp.split('.')
microsec = float("0."+decSeconds)*1e6
dt = datetime.datetime.strptime(dateTime,'%d-%b-%Y %H:%M:%S')
dt = dt + datetime.timedelta(microseconds=microsec)
return dt
def extractDoppler(self):
"""
Return the doppler centroid.
"""
quadratic = {}
r0 = self.frame.getStartingRange()
dr = self.frame.instrument.getRangePixelSize()
width = self.frame.getNumberOfSamples()
midr = r0 + (width/2.0) * dr
midtime = 2 * midr/ Const.c - self.rangeRefTime
fd_mid = 0.0
tpow = midtime
for kk in self.dopplerRangeTime:
fd_mid += kk * tpow
tpow *= midtime
####For insarApp
quadratic['a'] = fd_mid/self.frame.getInstrument().getPulseRepetitionFrequency()
quadratic['b'] = 0.
quadratic['c'] = 0.
####For roiApp
####More accurate
from isceobj.Util import Poly1D
coeffs = self.dopplerRangeTime
dr = self.frame.getInstrument().getRangePixelSize()
rref = 0.5 * Const.c * self.rangeRefTime
r0 = self.frame.getStartingRange()
norm = 0.5*Const.c/dr
dcoeffs = []
for ind, val in enumerate(coeffs):
dcoeffs.append( val / (norm**ind))
poly = Poly1D.Poly1D()
poly.initPoly(order=len(coeffs)-1)
poly.setMean( (rref - r0)/dr - 1.0)
poly.setCoeffs(dcoeffs)
pix = np.linspace(0, self.frame.getNumberOfSamples(), num=len(coeffs)+1)
evals = poly(pix)
fit = np.polyfit(pix,evals, len(coeffs)-1)
self.frame._dopplerVsPixel = list(fit[::-1])
print('Doppler Fit: ', fit[::-1])
return quadratic
class COSMO_SkyMed_SLC(Sensor):
"""
A class representing a Level1Product meta data.
Level1Product(hdf5=h5filename) will parse the hdf5
file and produce an object with attributes for metadata.
"""
parameter_list = (HDF5, ) + Sensor.parameter_list
logging_name = 'isce.Sensor.COSMO_SkyMed_SLC'
family = 'cosmo_skymed_slc'
def __init__(self, family='', name=''):
super(COSMO_SkyMed_SLC,
self).__init__(family if family else self.__class__.family,
name=name)
self.frame = Frame()
self.frame.configure()
# Some extra processing parameters unique to CSK SLC (currently)
self.dopplerRangeTime = []
self.dopplerAzimuthTime = []
self.azimuthRefTime = None
self.rangeRefTime = None
self.rangeFirstTime = None
self.rangeLastTime = None
self.lookMap = {'RIGHT': -1, 'LEFT': 1}
return
def __getstate__(self):
d = dict(self.__dict__)
del d['logger']
return d
def __setstate__(self, d):
self.__dict__.update(d)
self.logger = logging.getLogger('isce.Sensor.COSMO_SkyMed_SLC')
return
def getFrame(self):
return self.frame
def parse(self):
try:
fp = h5py.File(self.hdf5, 'r')
except Exception as strerr:
self.logger.error("IOError: %s" % strerr)
return None
self.populateMetadata(fp)
fp.close()
def populateMetadata(self, file):
"""
Populate our Metadata objects
"""
self._populatePlatform(file)
self._populateInstrument(file)
self._populateFrame(file)
self._populateOrbit(file)
self._populateExtras(file)
def _populatePlatform(self, file):
platform = self.frame.getInstrument().getPlatform()
platform.setMission(file.attrs['Satellite ID'])
platform.setPointingDirection(
self.lookMap[file.attrs['Look Side'].decode('utf-8')])
platform.setPlanet(Planet(pname="Earth"))
####This is an approximation for spotlight mode
####In spotlight mode, antenna length changes with azimuth position
platform.setAntennaLength(file.attrs['Antenna Length'])
try:
if file.attrs['Multi-Beam ID'].startswith('ES'):
platform.setAntennaLength(
16000.0 / file['S01/SBI'].attrs['Line Time Interval'])
except:
pass
def _populateInstrument(self, file):
instrument = self.frame.getInstrument()
# rangePixelSize = Const.c/(2*file['S01'].attrs['Sampling Rate'])
rangePixelSize = file['S01/SBI'].attrs['Column Spacing']
instrument.setRadarWavelength(file.attrs['Radar Wavelength'])
# instrument.setPulseRepetitionFrequency(file['S01'].attrs['PRF'])
instrument.setPulseRepetitionFrequency(
1.0 / file['S01/SBI'].attrs['Line Time Interval'])
instrument.setRangePixelSize(rangePixelSize)
instrument.setPulseLength(file['S01'].attrs['Range Chirp Length'])
instrument.setChirpSlope(file['S01'].attrs['Range Chirp Rate'])
# instrument.setRangeSamplingRate(file['S01'].attrs['Sampling Rate'])
instrument.setRangeSamplingRate(
1.0 / file['S01/SBI'].attrs['Column Time Interval'])
incangle = 0.5 * (file['S01/SBI'].attrs['Far Incidence Angle'] +
file['S01/SBI'].attrs['Near Incidence Angle'])
instrument.setIncidenceAngle(incangle)
def _populateFrame(self, file):
rft = file['S01/SBI'].attrs['Zero Doppler Range First Time']
slantRange = rft * Const.c / 2.0
self.frame.setStartingRange(slantRange)
referenceUTC = self._parseNanoSecondTimeStamp(
file.attrs['Reference UTC'])
relStart = file['S01/SBI'].attrs['Zero Doppler Azimuth First Time']
relEnd = file['S01/SBI'].attrs['Zero Doppler Azimuth Last Time']
relMid = 0.5 * (relStart + relEnd)
sensingStart = self._combineDateTime(referenceUTC, relStart)
sensingStop = self._combineDateTime(referenceUTC, relEnd)
sensingMid = self._combineDateTime(referenceUTC, relMid)
self.frame.setPassDirection(file.attrs['Orbit Direction'])
self.frame.setOrbitNumber(file.attrs['Orbit Number'])
self.frame.setProcessingFacility(file.attrs['Processing Centre'])
self.frame.setProcessingSoftwareVersion(
file.attrs['L0 Software Version'])
self.frame.setPolarization(file['S01'].attrs['Polarisation'])
self.frame.setNumberOfLines(file['S01/SBI'].shape[0])
self.frame.setNumberOfSamples(file['S01/SBI'].shape[1])
self.frame.setSensingStart(sensingStart)
self.frame.setSensingMid(sensingMid)
self.frame.setSensingStop(sensingStop)
rangePixelSize = self.frame.getInstrument().getRangePixelSize()
farRange = slantRange + (self.frame.getNumberOfSamples() -
1) * rangePixelSize
self.frame.setFarRange(farRange)
def _populateOrbit(self, file):
orbit = self.frame.getOrbit()
orbit.setReferenceFrame('ECR')
orbit.setOrbitSource('Header')
t0 = datetime.datetime.strptime(
file.attrs['Reference UTC'].decode('utf-8'),
'%Y-%m-%d %H:%M:%S.%f000')
t = file.attrs['State Vectors Times']
position = file.attrs['ECEF Satellite Position']
velocity = file.attrs['ECEF Satellite Velocity']
for i in range(len(position)):
vec = StateVector()
dt = t0 + datetime.timedelta(seconds=t[i])
vec.setTime(dt)
vec.setPosition([position[i, 0], position[i, 1], position[i, 2]])
vec.setVelocity([velocity[i, 0], velocity[i, 1], velocity[i, 2]])
orbit.addStateVector(vec)
def _populateExtras(self, file):
"""
Populate some of the extra fields unique to processing TSX data.
In the future, other sensors may need this information as well,
and a re-organization may be necessary.
"""
from isceobj.Doppler.Doppler import Doppler
self.dopplerRangeTime = file.attrs['Centroid vs Range Time Polynomial']
self.dopplerAzimuthTime = file.attrs[
'Centroid vs Azimuth Time Polynomial']
self.rangeRefTime = file.attrs['Range Polynomial Reference Time']
self.azimuthRefTime = file.attrs['Azimuth Polynomial Reference Time']
self.rangeFirstTime = file['S01/SBI'].attrs[
'Zero Doppler Range First Time']
self.rangeLastTime = file['S01/SBI'].attrs[
'Zero Doppler Range Last Time']
# get Doppler rate information, vs. azimuth first EJF 2015/00/05
# guessing that same scale applies as for Doppler centroid
self.dopplerRateCoeffs = file.attrs[
'Doppler Rate vs Azimuth Time Polynomial']
def extractImage(self):
import os
from ctypes import cdll, c_char_p
extract_csk = cdll.LoadLibrary(os.path.dirname(__file__) + '/csk.so')
inFile_c = c_char_p(bytes(self.hdf5, 'utf-8'))
outFile_c = c_char_p(bytes(self.output, 'utf-8'))
extract_csk.extract_csk_slc(inFile_c, outFile_c)
self.parse()
slcImage = isceobj.createSlcImage()
slcImage.setFilename(self.output)
slcImage.setXmin(0)
slcImage.setXmax(self.frame.getNumberOfSamples())
slcImage.setWidth(self.frame.getNumberOfSamples())
slcImage.setAccessMode('r')
self.frame.setImage(slcImage)
def _parseNanoSecondTimeStamp(self, timestamp):
"""
Parse a date-time string with nanosecond precision and return a datetime object
"""
dateTime, nanoSeconds = timestamp.decode('utf-8').split('.')
microsec = float(nanoSeconds) * 1e-3
dt = datetime.datetime.strptime(dateTime, '%Y-%m-%d %H:%M:%S')
dt = dt + datetime.timedelta(microseconds=microsec)
return dt
def _combineDateTime(self, dobj, secsstr):
'''Takes the date from dobj and time from secs to spit out a date time object.
'''
sec = float(secsstr)
dt = datetime.timedelta(seconds=sec)
return datetime.datetime.combine(dobj.date(), datetime.time(0, 0)) + dt
def extractDoppler(self):
"""
Return the doppler centroid as defined in the HDF5 file.
"""
import numpy as np
quadratic = {}
midtime = (self.rangeLastTime +
self.rangeFirstTime) * 0.5 - self.rangeRefTime
fd_mid = 0.0
x = 1.0
for ind, coeff in enumerate(self.dopplerRangeTime):
fd_mid += coeff * x
x *= midtime
####insarApp style
quadratic['a'] = fd_mid / self.frame.getInstrument(
).getPulseRepetitionFrequency()
quadratic['b'] = 0.
quadratic['c'] = 0.
####For roiApp more accurate
####Convert stuff to pixel wise coefficients
from isceobj.Util import Poly1D
coeffs = self.dopplerRangeTime
dr = self.frame.getInstrument().getRangePixelSize()
rref = 0.5 * Const.c * self.rangeRefTime
r0 = self.frame.getStartingRange()
norm = 0.5 * Const.c / dr
dcoeffs = []
for ind, val in enumerate(coeffs):
dcoeffs.append(val / (norm**ind))
poly = Poly1D.Poly1D()
poly.initPoly(order=len(coeffs) - 1)
poly.setMean((rref - r0) / dr - 1.0)
poly.setCoeffs(dcoeffs)
pix = np.linspace(0,
self.frame.getNumberOfSamples(),
num=len(coeffs) + 1)
evals = poly(pix)
fit = np.polyfit(pix, evals, len(coeffs) - 1)
self.frame._dopplerVsPixel = list(fit[::-1])
print('Doppler Fit: ', fit[::-1])
#EMG - 20160420 This section was introduced in the populateMetadata method by EJF in r2022
#Its pupose seems to be to set self.doppler_coeff and self.azfmrate_coeff, which don't seem
#to be used anywhere in ISCE. Need to take time to understand the need for this and consult
#with EJF.
#
## save the Doppler centroid coefficients, converting units from .h5 file
## units in the file are quadratic coefficients in Hz, Hz/sec, and Hz/(sec^2)
## ISCE expects Hz, Hz/(range sample), Hz/(range sample)^2
## note that RS2 Doppler values are estimated at time dc.dopplerCentroidReferenceTime,
## so the values might need to be adjusted for ISCE usage
## adapted from RS2 version EJF 2015/09/05
# poly = self.frame._dopplerVsPixel
# rangeSamplingRate = self.frame.getInstrument().getPulseRepetitionFrequency()
# # need to convert units
# poly[1] = poly[1]/rangeSamplingRate
# poly[2] = poly[2]/rangeSamplingRate**2
# self.doppler_coeff = poly
#
## similarly save Doppler azimuth fm rate values, converting units
## units in the file are quadratic coefficients in Hz, Hz/sec, and Hz/(sec^2)
## units are already converted below
## Guessing that ISCE expects Hz, Hz/(azimuth line), Hz/(azimuth line)^2
## note that RS2 Doppler values are estimated at time dc.dopplerRateReferenceTime,
## so the values might need to be adjusted for ISCE usage
## modified from RS2 version EJF 2015/09/05
## CSK Doppler azimuth FM rate not yet implemented in reading section, set to zero for now
#
# fmpoly = self.dopplerRateCoeffs
# # don't need to convert units
## fmpoly[1] = fmpoly[1]/rangeSamplingRate
## fmpoly[2] = fmpoly[2]/rangeSamplingRate**2
# self.azfmrate_coeff = fmpoly
#EMG - 20160420
return quadratic
class Radarsat2(Component):
"""
A Class representing RadarSAT 2 data
"""
def __init__(self):
Component.__init__(self)
self.xml = None
self.tiff = None
self.output = None
self.product = _Product()
self.frame = Frame()
self.frame.configure()
self.descriptionOfVariables = {}
self.dictionaryOfVariables = {'XML': ['self.xml','str','mandatory'],
'TIFF': ['self.tiff','str','mandatory'],
'OUTPUT': ['self.output','str','optional']}
def getFrame(self):
return self.frame
def parse(self):
try:
fp = open(self.xml,'r')
except IOError as strerr:
print("IOError: %s" % strerr)
return
self._xml_root = ElementTree(file=fp).getroot()
self.product.set_from_etnode(self._xml_root)
self.populateMetadata()
fp.close()
def populateMetadata(self):
"""
Create metadata objects from the metadata files
"""
mission = self.product.sourceAttributes.satellite
swath = self.product.sourceAttributes.radarParameters.beams
frequency = self.product.sourceAttributes.radarParameters.radarCenterFrequency
prf = self.product.sourceAttributes.radarParameters.prf
rangePixelSize = self.product.imageAttributes.rasterAttributes.sampledPixelSpacing
rangeSamplingRate = Const.c/(2*rangePixelSize)
pulseLength = self.product.sourceAttributes.radarParameters.pulseLengths[0]
pulseBandwidth = self.product.sourceAttributes.radarParameters.pulseBandwidths[0]
polarization = self.product.sourceAttributes.radarParameters.polarizations
lookSide = lookMap[self.product.sourceAttributes.radarParameters.antennaPointing.upper()]
facility = self.product.imageGenerationParameters.generalProcessingInformation._processingFacility
version = self.product.imageGenerationParameters.generalProcessingInformation.softwareVersion
lines = self.product.imageAttributes.rasterAttributes.numberOfLines
samples = self.product.imageAttributes.rasterAttributes.numberOfSamplesPerLine
startingRange = self.product.imageGenerationParameters.slantRangeToGroundRange.slantRangeTimeToFirstRangeSample * (Const.c/2)
incidenceAngle = (self.product.imageGenerationParameters.sarProcessingInformation.incidenceAngleNearRange + self.product.imageGenerationParameters.sarProcessingInformation.incidenceAngleFarRange)/2
lineFlip = (self.product.imageAttributes.rasterAttributes.lineTimeOrdering.upper() == 'DECREASING')
if lineFlip:
dataStopTime = self.product.imageGenerationParameters.sarProcessingInformation.zeroDopplerTimeFirstLine
dataStartTime = self.product.imageGenerationParameters.sarProcessingInformation.zeroDopplerTimeLastLine
else:
dataStartTime = self.product.imageGenerationParameters.sarProcessingInformation.zeroDopplerTimeFirstLine
dataStopTime = self.product.imageGenerationParameters.sarProcessingInformation.zeroDopplerTimeLastLine
passDirection = self.product.sourceAttributes.orbitAndAttitude.orbitInformation.passDirection
height = self.product.imageGenerationParameters.sarProcessingInformation._satelliteHeight
####Populate platform
platform = self.frame.getInstrument().getPlatform()
platform.setPlanet(Planet("Earth"))
platform.setMission(mission)
platform.setPointingDirection(lookSide)
platform.setAntennaLength(15.0)
####Populate instrument
instrument = self.frame.getInstrument()
instrument.setRadarFrequency(frequency)
instrument.setPulseRepetitionFrequency(prf)
instrument.setPulseLength(pulseLength)
instrument.setChirpSlope(pulseBandwidth/pulseLength)
instrument.setIncidenceAngle(incidenceAngle)
#self.frame.getInstrument().setRangeBias(0)
instrument.setRangePixelSize(rangePixelSize)
instrument.setRangeSamplingRate(rangeSamplingRate)
instrument.setBeamNumber(swath)
instrument.setPulseLength(pulseLength)
#Populate Frame
#self.frame.setSatelliteHeight(height)
self.frame.setSensingStart(dataStartTime)
self.frame.setSensingStop(dataStopTime)
diffTime = DTUtil.timeDeltaToSeconds(dataStopTime - dataStartTime)/2.0
sensingMid = dataStartTime + datetime.timedelta(microseconds=int(diffTime*1e6))
self.frame.setSensingMid(sensingMid)
self.frame.setPassDirection(passDirection)
self.frame.setPolarization(polarization)
self.frame.setStartingRange(startingRange)
self.frame.setFarRange(startingRange + (samples-1)*rangePixelSize)
self.frame.setNumberOfLines(lines)
self.frame.setNumberOfSamples(samples)
self.frame.setProcessingFacility(facility)
self.frame.setProcessingSoftwareVersion(version)
# Initialize orbit objects
# Read into temp orbit first.
# Radarsat 2 needs orbit extensions.
tempOrbit = Orbit()
self.frame.getOrbit().setOrbitSource('Header: ' + self.product.sourceAttributes.orbitAndAttitude.orbitInformation.orbitDataFile)
self.frame.setPassDirection(passDirection)
stateVectors = self.product.sourceAttributes.orbitAndAttitude.orbitInformation.stateVectors
for i in range(len(stateVectors)):
position = [stateVectors[i].xPosition, stateVectors[i].yPosition, stateVectors[i].zPosition]
velocity = [stateVectors[i].xVelocity, stateVectors[i].yVelocity, stateVectors[i].zVelocity]
vec = StateVector()
vec.setTime(stateVectors[i].timeStamp)
vec.setPosition(position)
vec.setVelocity(velocity)
tempOrbit.addStateVector(vec)
planet = self.frame.instrument.platform.planet
orbExt = OrbitExtender(planet=planet)
orbExt.configure()
newOrb = orbExt.extendOrbit(tempOrbit)
for sv in newOrb:
self.frame.getOrbit().addStateVector(sv)
def extractImage(self, verbose=True):
'''
Use gdal to extract the slc.
'''
try:
from osgeo import gdal
except ImportError:
raise Exception('GDAL python bindings not found. Need this for RSAT2 / TandemX / Sentinel1A.')
self.parse()
width = self.frame.getNumberOfSamples()
lgth = self.frame.getNumberOfLines()
lineFlip = (self.product.imageAttributes.rasterAttributes.lineTimeOrdering.upper() == 'DECREASING')
pixFlip = (self.product.imageAttributes.rasterAttributes.pixelTimeOrdering.upper() == 'DECREASING')
src = gdal.Open(self.tiff.strip(), gdal.GA_ReadOnly)
cJ = np.complex64(1.0j)
####Images are small enough that we can do it all in one go - Piyush
real = src.GetRasterBand(1).ReadAsArray(0,0,width,lgth)
imag = src.GetRasterBand(2).ReadAsArray(0,0,width,lgth)
if (real is None) or (imag is None):
raise Exception('Input Radarsat2 SLC seems to not be a 2 band Int16 image.')
data = real+cJ*imag
real = None
imag = None
src = None
if lineFlip:
if verbose:
print('Vertically Flipping data')
data = np.flipud(data)
if pixFlip:
if verbose:
print('Horizontally Flipping data')
data = np.fliplr(data)
data.tofile(self.output)
####
slcImage = isceobj.createSlcImage()
slcImage.setByteOrder('l')
slcImage.setFilename(self.output)
slcImage.setAccessMode('read')
slcImage.setWidth(width)
slcImage.setLength(lgth)
slcImage.setXmin(0)
slcImage.setXmax(width)
# slcImage.renderHdr()
self.frame.setImage(slcImage)
def extractDoppler(self):
'''
self.parse()
Extract doppler information as needed by mocomp
'''
ins = self.frame.getInstrument()
dc = self.product.imageGenerationParameters.dopplerCentroid
quadratic = {}
r0 = self.frame.startingRange
fs = ins.getRangeSamplingRate()
tNear = 2*r0/Const.c
tMid = tNear + 0.5*self.frame.getNumberOfSamples()/fs
t0 = dc.dopplerCentroidReferenceTime
poly = dc.dopplerCentroidCoefficients
fd_mid = 0.0
for kk in range(len(poly)):
fd_mid += poly[kk] * (tMid - t0)**kk
quadratic['a'] = fd_mid / ins.getPulseRepetitionFrequency()
quadratic['b'] = 0.
quadratic['c'] = 0.
return quadratic
class Sentinel1(Sensor):
"""
A Class representing Sentinel1 StripMap data
"""
family = 's1sm'
logging = 'isce.sensor.S1_SM'
parameter_list = (
XML,
TIFF,
MANIFEST,
SAFE,
ORBIT_FILE,
ORBIT_DIR,
POLARIZATION,
) + Sensor.parameter_list
def __init__(self, family='', name=''):
super(Sentinel1,
self).__init__(family if family else self.__class__.family,
name=name)
self.frame = Frame()
self.frame.configure()
self._xml_root = None
def validateUserInputs(self):
'''
Validate inputs from user.
Populate tiff and xml from SAFE folder name.
'''
import fnmatch
import zipfile
if not self.xml:
if not self.safe:
raise Exception('SAFE directory is not provided')
####First find annotation file
####Dont need swath number when driving with xml and tiff file
if not self.xml:
swathid = 's1?-s?-slc-{}'.format(self.polarization)
dirname = self.safe
if not self.xml:
match = None
if dirname.endswith('.zip'):
pattern = os.path.join('*SAFE', 'annotation',
swathid) + '*.xml'
zf = zipfile.ZipFile(dirname, 'r')
match = fnmatch.filter(zf.namelist(), pattern)
zf.close()
if (len(match) == 0):
raise Exception(
'No annotation xml file found in zip file: {0}'.format(
dirname))
####Add /vsizip at the start to make it a zip file
self.xml = '/vsizip/' + os.path.join(dirname, match[0])
else:
pattern = os.path.join('annotation', swathid) + '*.xml'
match = glob.glob(os.path.join(dirname, pattern))
if (len(match) == 0):
raise Exception(
'No annotation xml file found in {0}'.format(dirname))
self.xml = match[0]
if not self.xml:
raise Exception('No annotation files found')
print('Input XML file: ', self.xml)
####Find TIFF file
if (not self.tiff) and (self.safe):
match = None
if dirname.endswith('.zip'):
pattern = os.path.join('*SAFE', 'measurement',
swathid) + '*.tiff'
zf = zipfile.ZipFile(dirname, 'r')
match = fnmatch.filter(zf.namelist(), pattern)
zf.close()
if (len(match) == 0):
raise Exception(
'No tiff file found in zip file: {0}'.format(dirname))
####Add /vsizip at the start to make it a zip file
self.tiff = '/vsizip/' + os.path.join(dirname, match[0])
else:
pattern = os.path.join('measurement', swathid) + '*.tiff'
match = glob.glob(os.path.join(dirname, pattern))
if len(match) == 0:
raise Exception(
'No tiff file found in directory: {0}'.format(dirname))
self.tiff = match[0]
print('Input TIFF files: ', self.tiff)
####Find manifest files
if self.safe:
if dirname.endswith('.zip'):
pattern = '*SAFE/manifest.safe'
zf = zipfile.ZipFile(dirname, 'r')
match = fnmatch.filter(zf.namelist(), pattern)
zf.close()
self.manifest = '/vsizip/' + os.path.join(dirname, match[0])
else:
self.manifest = os.path.join(dirname, 'manifest.safe')
print('Manifest files: ', self.manifest)
return
def getFrame(self):
return self.frame
def parse(self):
'''
Actual parsing of the metadata for the product.
'''
from isceobj.Sensor.TOPS.Sentinel1 import s1_findOrbitFile
###Check user inputs
self.validateUserInputs()
if self.xml.startswith('/vsizip'):
import zipfile
parts = self.xml.split(os.path.sep)
if parts[2] == '':
parts[2] = os.path.sep
zipname = os.path.join(*(parts[2:-3]))
fname = os.path.join(*(parts[-3:]))
zf = zipfile.ZipFile(zipname, 'r')
xmlstr = zf.read(fname)
zf.close()
else:
with open(self.xml, 'r') as fid:
xmlstr = fid.read()
self._xml_root = ET.fromstring(xmlstr)
self.populateMetadata()
if self.manifest:
self.populateIPFVersion()
else:
self.frame.setProcessingFacility('ESA')
self.frame.setProcessingSoftwareVersion('IPFx.xx')
if not self.orbitFile:
if self.orbitDir:
self.orbitFile = s1_findOrbitFile(
self.orbitDir,
self.frame.sensingStart,
self.frame.sensingStop,
mission=self.frame.getInstrument().getPlatform(
).getMission())
if self.orbitFile:
orb = self.extractPreciseOrbit()
self.frame.orbit.setOrbitSource(os.path.basename(self.orbitFile))
else:
orb = self.extractOrbitFromAnnotation()
self.frame.orbit.setOrbitSource('Annotation')
for sv in orb:
self.frame.orbit.addStateVector(sv)
def grab_from_xml(self, path):
try:
res = self._xml_root.find(path).text
except:
raise Exception('Tag= %s not found' % (path))
if res is None:
raise Exception('Tag = %s not found' % (path))
return res
def convertToDateTime(self, string):
dt = datetime.datetime.strptime(string, "%Y-%m-%dT%H:%M:%S.%f")
return dt
def populateMetadata(self):
"""
Create metadata objects from the metadata files
"""
####Set each parameter one - by - one
mission = self.grab_from_xml('adsHeader/missionId')
swath = self.grab_from_xml('adsHeader/swath')
polarization = self.grab_from_xml('adsHeader/polarisation')
frequency = float(
self.grab_from_xml(
'generalAnnotation/productInformation/radarFrequency'))
passDirection = self.grab_from_xml(
'generalAnnotation/productInformation/pass')
rangePixelSize = float(
self.grab_from_xml(
'imageAnnotation/imageInformation/rangePixelSpacing'))
azimuthPixelSize = float(
self.grab_from_xml(
'imageAnnotation/imageInformation/azimuthPixelSpacing'))
rangeSamplingRate = Const.c / (2.0 * rangePixelSize)
prf = 1.0 / float(
self.grab_from_xml(
'imageAnnotation/imageInformation/azimuthTimeInterval'))
lines = int(
self.grab_from_xml(
'imageAnnotation/imageInformation/numberOfLines'))
samples = int(
self.grab_from_xml(
'imageAnnotation/imageInformation/numberOfSamples'))
startingRange = float(
self.grab_from_xml(
'imageAnnotation/imageInformation/slantRangeTime')
) * Const.c / 2.0
incidenceAngle = float(
self.grab_from_xml(
'imageAnnotation/imageInformation/incidenceAngleMidSwath'))
dataStartTime = self.convertToDateTime(
self.grab_from_xml(
'imageAnnotation/imageInformation/productFirstLineUtcTime'))
dataStopTime = self.convertToDateTime(
self.grab_from_xml(
'imageAnnotation/imageInformation/productLastLineUtcTime'))
pulseLength = float(
self.grab_from_xml(
'generalAnnotation/downlinkInformationList/downlinkInformation/downlinkValues/txPulseLength'
))
chirpSlope = float(
self.grab_from_xml(
'generalAnnotation/downlinkInformationList/downlinkInformation/downlinkValues/txPulseRampRate'
))
pulseBandwidth = pulseLength * chirpSlope
####Sentinel is always right looking
lookSide = -1
# height = self.product.imageGenerationParameters.sarProcessingInformation._satelliteHeight
####Populate platform
platform = self.frame.getInstrument().getPlatform()
platform.setPlanet(Planet(pname="Earth"))
platform.setMission(mission)
platform.setPointingDirection(lookSide)
platform.setAntennaLength(2 * azimuthPixelSize)
####Populate instrument
instrument = self.frame.getInstrument()
instrument.setRadarFrequency(frequency)
instrument.setPulseRepetitionFrequency(prf)
instrument.setPulseLength(pulseLength)
instrument.setChirpSlope(pulseBandwidth / pulseLength)
instrument.setIncidenceAngle(incidenceAngle)
#self.frame.getInstrument().setRangeBias(0)
instrument.setRangePixelSize(rangePixelSize)
instrument.setRangeSamplingRate(rangeSamplingRate)
instrument.setBeamNumber(swath)
instrument.setPulseLength(pulseLength)
#Populate Frame
#self.frame.setSatelliteHeight(height)
self.frame.setSensingStart(dataStartTime)
self.frame.setSensingStop(dataStopTime)
diffTime = DTUtil.timeDeltaToSeconds(dataStopTime -
dataStartTime) / 2.0
sensingMid = dataStartTime + datetime.timedelta(
microseconds=int(diffTime * 1e6))
self.frame.setSensingMid(sensingMid)
self.frame.setPassDirection(passDirection)
self.frame.setPolarization(polarization)
self.frame.setStartingRange(startingRange)
self.frame.setFarRange(startingRange + (samples - 1) * rangePixelSize)
self.frame.setNumberOfLines(lines)
self.frame.setNumberOfSamples(samples)
self.frame.setPassDirection(passDirection)
def extractOrbitFromAnnotation(self):
'''
Extract orbit information from xml node.
'''
node = self._xml_root.find('generalAnnotation/orbitList')
frameOrbit = Orbit()
frameOrbit.setOrbitSource('Header')
for child in node:
timestamp = self.convertToDateTime(child.find('time').text)
pos = []
vel = []
posnode = child.find('position')
velnode = child.find('velocity')
for tag in ['x', 'y', 'z']:
pos.append(float(posnode.find(tag).text))
for tag in ['x', 'y', 'z']:
vel.append(float(velnode.find(tag).text))
vec = StateVector()
vec.setTime(timestamp)
vec.setPosition(pos)
vec.setVelocity(vel)
frameOrbit.addStateVector(vec)
planet = self.frame.instrument.platform.planet
orbExt = OrbitExtender(planet=planet)
orbExt.configure()
newOrb = orbExt.extendOrbit(frameOrbit)
return newOrb
def extractPreciseOrbit(self):
'''
Extract precise orbit from given Orbit file.
'''
try:
fp = open(self.orbitFile, 'r')
except IOError as strerr:
print("IOError: %s" % strerr)
return
_xml_root = ET.ElementTree(file=fp).getroot()
node = _xml_root.find('Data_Block/List_of_OSVs')
orb = Orbit()
orb.configure()
margin = datetime.timedelta(seconds=40.0)
tstart = self.frame.getSensingStart() - margin
tend = self.frame.getSensingStop() + margin
for child in node:
timestamp = self.convertToDateTime(child.find('UTC').text[4:])
if (timestamp >= tstart) and (timestamp < tend):
pos = []
vel = []
for tag in ['VX', 'VY', 'VZ']:
vel.append(float(child.find(tag).text))
for tag in ['X', 'Y', 'Z']:
pos.append(float(child.find(tag).text))
vec = StateVector()
vec.setTime(timestamp)
vec.setPosition(pos)
vec.setVelocity(vel)
orb.addStateVector(vec)
fp.close()
return orb
def extractImage(self):
"""
Use gdal python bindings to extract image
"""
try:
from osgeo import gdal
except ImportError:
raise Exception(
'GDAL python bindings not found. Need this for RSAT2/ TandemX / Sentinel1A.'
)
self.parse()
width = self.frame.getNumberOfSamples()
lgth = self.frame.getNumberOfLines()
src = gdal.Open(self.tiff.strip(), gdal.GA_ReadOnly)
band = src.GetRasterBand(1)
fid = open(self.output, 'wb')
for ii in range(lgth):
data = band.ReadAsArray(0, ii, width, 1)
data.tofile(fid)
fid.close()
src = None
band = None
####
slcImage = isceobj.createSlcImage()
slcImage.setByteOrder('l')
slcImage.setFilename(self.output)
slcImage.setAccessMode('read')
slcImage.setWidth(self.frame.getNumberOfSamples())
slcImage.setLength(self.frame.getNumberOfLines())
slcImage.setXmin(0)
slcImage.setXmax(self.frame.getNumberOfSamples())
self.frame.setImage(slcImage)
def extractDoppler(self):
'''
self.parse()
Extract doppler information as needed by mocomp
'''
from isceobj.Util import Poly1D
node = self._xml_root.find('dopplerCentroid/dcEstimateList')
tdiff = 1.0e9
dpoly = None
for index, burst in enumerate(node):
refTime = self.convertToDateTime(burst.find('azimuthTime').text)
delta = abs((refTime - self.frame.sensingMid).total_seconds())
if delta < tdiff:
tdiff = delta
r0 = 0.5 * Const.c * float(burst.find('t0').text)
coeffs = [
float(val)
for val in burst.find('dataDcPolynomial').text.split()
]
poly = Poly1D.Poly1D()
poly.initPoly(order=len(coeffs) - 1)
poly.setMean(r0)
poly.setNorm(0.5 * Const.c)
poly.setCoeffs(coeffs)
dpoly = poly
if dpoly is None:
raise Exception(
'Could not extract Doppler information for S1 scene')
###Part for insarApp
###Should be removed in the future
rmid = self.frame.startingRange + 0.5 * self.frame.getNumberOfSamples(
) * self.frame.getInstrument().getRangePixelSize()
quadratic = {}
quadratic['a'] = dpoly(
rmid) / self.frame.getInstrument().getPulseRepetitionFrequency()
quadratic['b'] = 0.
quadratic['c'] = 0.
###Actual Doppler Polynomial for accurate processing
###Will be used in roiApp
pix = np.linspace(0,
self.frame.getNumberOfSamples(),
num=dpoly._order + 2)
rngs = self.frame.startingRange + pix * self.frame.getInstrument(
).getRangePixelSize()
evals = dpoly(rngs)
fit = np.polyfit(pix, evals, dpoly._order)
self.frame._dopplerVsPixel = list(fit[::-1])
print('Doppler Fit : ', fit[::-1])
return quadratic
def populateIPFVersion(self):
'''
Get IPF version from the manifest file.
'''
try:
if self.manifest.startswith('/vsizip'):
import zipfile
parts = self.manifest.split(os.path.sep)
if parts[2] == '':
parts[2] = os.path.sep
zipname = os.path.join(*(parts[2:-2]))
fname = os.path.join(*(parts[-2:]))
print('MANS: ', zipname, fname)
zf = zipfile.ZipFile(zipname, 'r')
xmlstr = zf.read(fname)
else:
with open(self.manifest, 'r') as fid:
xmlstr = fid.read()
####Setup namespace
nsp = "{http://www.esa.int/safe/sentinel-1.0}"
root = ET.fromstring(xmlstr)
elem = root.find('.//metadataObject[@ID="processing"]')
rdict = elem.find('.//xmlData/' + nsp + 'processing/' + nsp +
'facility').attrib
self.frame.setProcessingFacility(rdict['site'] + ', ' +
rdict['country'])
rdict = elem.find('.//xmlData/' + nsp + 'processing/' + nsp +
'facility/' + nsp + 'software').attrib
self.frame.setProcessingSoftwareVersion(rdict['name'] + ' ' +
rdict['version'])
except: ###Not a critical error ... continuing
print(
'Could not read version number successfully from manifest file: ',
self.manifest)
pass
return
class ICEYE_SLC(Sensor):
"""
A class representing a Level1Product meta data.
Level1Product(hdf5=h5filename) will parse the hdf5
file and produce an object with attributes for metadata.
"""
parameter_list = (HDF5, APPLY_SLANT_RANGE_PHASE) + Sensor.parameter_list
logging_name = 'isce.Sensor.ICEYE_SLC'
family = 'iceye_slc'
def __init__(self, family='', name=''):
super(ICEYE_SLC,
self).__init__(family if family else self.__class__.family,
name=name)
self.frame = Frame()
self.frame.configure()
# Some extra processing parameters unique to CSK SLC (currently)
self.dopplerRangeTime = []
self.dopplerAzimuthTime = []
self.azimuthRefTime = None
self.rangeRefTime = None
self.rangeFirstTime = None
self.rangeLastTime = None
self.lookMap = {'RIGHT': -1, 'LEFT': 1}
return
def __getstate__(self):
d = dict(self.__dict__)
del d['logger']
return d
def __setstate__(self, d):
self.__dict__.update(d)
self.logger = logging.getLogger('isce.Sensor.ICEYE_SLC')
return
def getFrame(self):
return self.frame
def parse(self):
try:
fp = h5py.File(self.hdf5, 'r')
except Exception as strerr:
self.logger.error("IOError: %s" % strerr)
return None
self.populateMetadata(fp)
fp.close()
def populateMetadata(self, file):
"""
Populate our Metadata objects
"""
self._populatePlatform(file)
self._populateInstrument(file)
self._populateFrame(file)
self._populateOrbit(file)
self._populateExtras(file)
def _populatePlatform(self, file):
platform = self.frame.getInstrument().getPlatform()
platform.setMission(file['satellite_name'][()])
platform.setPointingDirection(
self.lookMap[file['look_side'][()].upper()])
platform.setPlanet(Planet(pname="Earth"))
####This is an approximation for spotlight mode
####In spotlight mode, antenna length changes with azimuth position
platform.setAntennaLength(2 * file['azimuth_ground_spacing'][()])
assert (file['range_looks'][()] == 1)
assert (file['azimuth_looks'][()] == 1)
def _populateInstrument(self, file):
instrument = self.frame.getInstrument()
rangePixelSize = file['slant_range_spacing'][()]
instrument.setRadarWavelength(Const.c / file['carrier_frequency'][()])
instrument.setPulseRepetitionFrequency(file['processing_prf'][()])
instrument.setRangePixelSize(rangePixelSize)
instrument.setPulseLength(file['chirp_duration'][()])
instrument.setChirpSlope(file['chirp_bandwidth'][()] /
file['chirp_duration'][()])
instrument.setRangeSamplingRate(file['range_sampling_rate'][()])
incangle = file['local_incidence_angle']
instrument.setIncidenceAngle(incangle[incangle.size // 2])
def _populateFrame(self, file):
rft = file['first_pixel_time'][()]
slantRange = rft * Const.c / 2.0
self.frame.setStartingRange(slantRange)
sensingStart = datetime.datetime.strptime(
file['zerodoppler_start_utc'][()].decode('utf-8'),
'%Y-%m-%dT%H:%M:%S.%f')
sensingStop = datetime.datetime.strptime(
file['zerodoppler_end_utc'][()].decode('utf-8'),
'%Y-%m-%dT%H:%M:%S.%f')
sensingMid = sensingStart + 0.5 * (sensingStop - sensingStart)
self.frame.setPassDirection(file['orbit_direction'][()])
self.frame.setOrbitNumber(file['orbit_absolute_number'][()])
self.frame.setProcessingFacility('ICEYE')
self.frame.setProcessingSoftwareVersion(
str(file['processor_version'][()]))
self.frame.setPolarization(file['polarization'][()])
self.frame.setNumberOfLines(file['number_of_azimuth_samples'][()])
self.frame.setNumberOfSamples(file['number_of_range_samples'][()])
self.frame.setSensingStart(sensingStart)
self.frame.setSensingMid(sensingMid)
self.frame.setSensingStop(sensingStop)
rangePixelSize = self.frame.getInstrument().getRangePixelSize()
farRange = slantRange + (self.frame.getNumberOfSamples() -
1) * rangePixelSize
self.frame.setFarRange(farRange)
def _populateOrbit(self, file):
import numpy as np
orbit = self.frame.getOrbit()
orbit.setReferenceFrame('ECR')
orbit.setOrbitSource('Header')
t = file['state_vector_time_utc'][:]
position = np.zeros((t.size, 3))
position[:, 0] = file['posX'][:]
position[:, 1] = file['posY'][:]
position[:, 2] = file['posZ'][:]
velocity = np.zeros((t.size, 3))
velocity[:, 0] = file['velX'][:]
velocity[:, 1] = file['velY'][:]
velocity[:, 2] = file['velZ'][:]
for ii in range(t.size):
vec = StateVector()
vec.setTime(
datetime.datetime.strptime(t[ii][0].decode('utf-8'),
'%Y-%m-%dT%H:%M:%S.%f'))
vec.setPosition(
[position[ii, 0], position[ii, 1], position[ii, 2]])
vec.setVelocity(
[velocity[ii, 0], velocity[ii, 1], velocity[ii, 2]])
orbit.addStateVector(vec)
def _populateExtras(self, file):
"""
Populate some of the extra fields unique to processing TSX data.
In the future, other sensors may need this information as well,
and a re-organization may be necessary.
"""
import numpy as np
self.dcpoly = np.mean(file['dc_estimate_coeffs'][:], axis=0)
def extractImage(self):
import numpy as np
import h5py
self.parse()
fid = h5py.File(self.hdf5, 'r')
si = fid['s_i']
sq = fid['s_q']
nLines = si.shape[0]
spectralShift = 2 * self.frame.getInstrument().getRangePixelSize(
) / self.frame.getInstrument().getRadarWavelength()
spectralShift -= np.floor(spectralShift)
phsShift = np.exp(-1j * 2 * np.pi * spectralShift *
np.arange(si.shape[1]))
with open(self.output, 'wb') as fout:
for ii in range(nLines):
line = (si[ii, :] + 1j * sq[ii, :])
if self.applySlantRangePhase:
line *= phsShift
line.astype(np.complex64).tofile(fout)
fid.close()
slcImage = isceobj.createSlcImage()
slcImage.setFilename(self.output)
slcImage.setXmin(0)
slcImage.setXmax(self.frame.getNumberOfSamples())
slcImage.setWidth(self.frame.getNumberOfSamples())
slcImage.setAccessMode('r')
self.frame.setImage(slcImage)
def extractDoppler(self):
"""
Return the doppler centroid as defined in the HDF5 file.
"""
import numpy as np
quadratic = {}
rangePixelSize = self.frame.getInstrument().getRangePixelSize()
rt0 = self.frame.getStartingRange() / (2 * Const.c)
rt1 = rt0 + ((self.frame.getNumberOfSamples() - 1) *
rangePixelSize) / (2 * Const.c)
####insarApp style
quadratic['a'] = np.polyval(self.dcpoly, 0.5 *
(rt0 + rt1)) / self.frame.PRF
quadratic['b'] = 0.
quadratic['c'] = 0.
####For roiApp more accurate
####Convert stuff to pixel wise coefficients
x = np.linspace(rt0, rt1, num=len(self.dcpoly) + 1)
pix = np.linspace(0,
self.frame.getNumberOfSamples(),
num=len(self.dcpoly) + 1)
evals = np.polyval(self.dcpoly, x)
fit = np.polyfit(pix, evals, len(self.dcpoly) - 1)
self.frame._dopplerVsPixel = list(fit[::-1])
print('Doppler Fit: ', self.frame._dopplerVsPixel)
return quadratic
