def runIonUwrap(self):
'''unwrap subband interferograms
'''
catalog = isceobj.Catalog.createCatalog(self._insar.procDoc.name)
self.updateParamemetersFromUser()
if not self.doIon:
catalog.printToLog(logger, "runIonUwrap")
self._insar.procDoc.addAllFromCatalog(catalog)
return
referenceTrack = self._insar.loadTrack(reference=True)
secondaryTrack = self._insar.loadTrack(reference=False)
wbdFile = os.path.abspath(self._insar.wbd)
from isceobj.Alos2Proc.runIonSubband import defineIonDir
ionDir = defineIonDir()
subbandPrefix = ['lower', 'upper']
ionCalDir = os.path.join(ionDir['ion'], ionDir['ionCal'])
os.makedirs(ionCalDir, exist_ok=True)
os.chdir(ionCalDir)
############################################################
# STEP 1. take looks
############################################################
from isceobj.Alos2Proc.Alos2ProcPublic import create_xml
from contrib.alos2proc.alos2proc import look
from isceobj.Alos2Proc.Alos2ProcPublic import waterBodyRadar
ml2 = '_{}rlks_{}alks'.format(self._insar.numberRangeLooks1*self._insar.numberRangeLooksIon,
self._insar.numberAzimuthLooks1*self._insar.numberAzimuthLooksIon)
for k in range(2):
fullbandDir = os.path.join('../../', ionDir['insar'])
subbandDir = os.path.join('../', ionDir['subband'][k], ionDir['insar'])
prefix = subbandPrefix[k]
amp = isceobj.createImage()
amp.load(os.path.join(subbandDir, self._insar.amplitude)+'.xml')
width = amp.width
length = amp.length
width2 = int(width / self._insar.numberRangeLooksIon)
length2 = int(length / self._insar.numberAzimuthLooksIon)
#take looks
look(os.path.join(subbandDir, self._insar.differentialInterferogram), prefix+ml2+'.int', width, self._insar.numberRangeLooksIon, self._insar.numberAzimuthLooksIon, 4, 0, 1)
create_xml(prefix+ml2+'.int', width2, length2, 'int')
look(os.path.join(subbandDir, self._insar.amplitude), prefix+ml2+'.amp', width, self._insar.numberRangeLooksIon, self._insar.numberAzimuthLooksIon, 4, 1, 1)
create_xml(prefix+ml2+'.amp', width2, length2, 'amp')
# #water body
# if k == 0:
# wbdOutFile = os.path.join(fullbandDir, self._insar.wbdOut)
# if os.path.isfile(wbdOutFile):
# look(wbdOutFile, 'wbd'+ml2+'.wbd', width, self._insar.numberRangeLooksIon, self._insar.numberAzimuthLooksIon, 0, 0, 1)
# create_xml('wbd'+ml2+'.wbd', width2, length2, 'byte')
#water body
if k == 0:
look(os.path.join(fullbandDir, self._insar.latitude), 'lat'+ml2+'.lat', width, self._insar.numberRangeLooksIon, self._insar.numberAzimuthLooksIon, 3, 0, 1)
look(os.path.join(fullbandDir, self._insar.longitude), 'lon'+ml2+'.lon', width, self._insar.numberRangeLooksIon, self._insar.numberAzimuthLooksIon, 3, 0, 1)
create_xml('lat'+ml2+'.lat', width2, length2, 'double')
create_xml('lon'+ml2+'.lon', width2, length2, 'double')
waterBodyRadar('lat'+ml2+'.lat', 'lon'+ml2+'.lon', wbdFile, 'wbd'+ml2+'.wbd')
############################################################
# STEP 2. compute coherence
############################################################
from isceobj.Alos2Proc.Alos2ProcPublic import cal_coherence
lowerbandInterferogramFile = subbandPrefix[0]+ml2+'.int'
upperbandInterferogramFile = subbandPrefix[1]+ml2+'.int'
lowerbandAmplitudeFile = subbandPrefix[0]+ml2+'.amp'
upperbandAmplitudeFile = subbandPrefix[1]+ml2+'.amp'
lowerbandCoherenceFile = subbandPrefix[0]+ml2+'.cor'
upperbandCoherenceFile = subbandPrefix[1]+ml2+'.cor'
coherenceFile = 'diff'+ml2+'.cor'
lowerint = np.fromfile(lowerbandInterferogramFile, dtype=np.complex64).reshape(length2, width2)
upperint = np.fromfile(upperbandInterferogramFile, dtype=np.complex64).reshape(length2, width2)
loweramp = np.fromfile(lowerbandAmplitudeFile, dtype=np.float32).reshape(length2, width2*2)
upperamp = np.fromfile(upperbandAmplitudeFile, dtype=np.float32).reshape(length2, width2*2)
#compute coherence only using interferogram
#here I use differential interferogram of lower and upper band interferograms
#so that coherence is not affected by fringes
cord = cal_coherence(lowerint*np.conjugate(upperint), win=3, edge=4)
cor = np.zeros((length2*2, width2), dtype=np.float32)
cor[0:length2*2:2, :] = np.sqrt( (np.absolute(lowerint)+np.absolute(upperint))/2.0 )
cor[1:length2*2:2, :] = cord
cor.astype(np.float32).tofile(coherenceFile)
create_xml(coherenceFile, width2, length2, 'cor')
#create lower and upper band coherence files
#lower
amp1 = loweramp[:, 0:width2*2:2]
amp2 = loweramp[:, 1:width2*2:2]
cor[1:length2*2:2, :] = np.absolute(lowerint)/(amp1+(amp1==0))/(amp2+(amp2==0))*(amp1!=0)*(amp2!=0)
cor.astype(np.float32).tofile(lowerbandCoherenceFile)
create_xml(lowerbandCoherenceFile, width2, length2, 'cor')
#upper
amp1 = upperamp[:, 0:width2*2:2]
amp2 = upperamp[:, 1:width2*2:2]
cor[1:length2*2:2, :] = np.absolute(upperint)/(amp1+(amp1==0))/(amp2+(amp2==0))*(amp1!=0)*(amp2!=0)
cor.astype(np.float32).tofile(upperbandCoherenceFile)
create_xml(upperbandCoherenceFile, width2, length2, 'cor')
############################################################
# STEP 3. filtering subband interferograms
############################################################
from contrib.alos2filter.alos2filter import psfilt1
from isceobj.Alos2Proc.Alos2ProcPublic import runCmd
from isceobj.Alos2Proc.Alos2ProcPublic import create_xml
from mroipac.icu.Icu import Icu
if self.filterSubbandInt:
for k in range(2):
toBeFiltered = 'tmp.int'
if self.removeMagnitudeBeforeFilteringSubbandInt:
cmd = "imageMath.py -e='a/(abs(a)+(a==0))' --a={} -o {} -t cfloat -s BSQ".format(subbandPrefix[k]+ml2+'.int', toBeFiltered)
else:
#scale the inteferogram, otherwise its magnitude is too large for filtering
cmd = "imageMath.py -e='a/100000.0' --a={} -o {} -t cfloat -s BSQ".format(subbandPrefix[k]+ml2+'.int', toBeFiltered)
runCmd(cmd)
intImage = isceobj.createIntImage()
intImage.load(toBeFiltered + '.xml')
width = intImage.width
length = intImage.length
windowSize = self.filterWinsizeSubbandInt
stepSize = self.filterStepsizeSubbandInt
psfilt1(toBeFiltered, 'filt_'+subbandPrefix[k]+ml2+'.int', width, self.filterStrengthSubbandInt, windowSize, stepSize)
create_xml('filt_'+subbandPrefix[k]+ml2+'.int', width, length, 'int')
os.remove(toBeFiltered)
os.remove(toBeFiltered + '.vrt')
os.remove(toBeFiltered + '.xml')
#create phase sigma for phase unwrapping
#recreate filtered image
filtImage = isceobj.createIntImage()
filtImage.load('filt_'+subbandPrefix[k]+ml2+'.int' + '.xml')
filtImage.setAccessMode('read')
filtImage.createImage()
#amplitude image
ampImage = isceobj.createAmpImage()
ampImage.load(subbandPrefix[k]+ml2+'.amp' + '.xml')
ampImage.setAccessMode('read')
ampImage.createImage()
#phase sigma correlation image
phsigImage = isceobj.createImage()
phsigImage.setFilename(subbandPrefix[k]+ml2+'.phsig')
phsigImage.setWidth(width)
phsigImage.dataType='FLOAT'
phsigImage.bands = 1
phsigImage.setImageType('cor')
phsigImage.setAccessMode('write')
phsigImage.createImage()
icu = Icu(name='insarapp_filter_icu')
icu.configure()
icu.unwrappingFlag = False
icu.icu(intImage = filtImage, ampImage=ampImage, phsigImage=phsigImage)
phsigImage.renderHdr()
filtImage.finalizeImage()
ampImage.finalizeImage()
phsigImage.finalizeImage()
############################################################
# STEP 4. phase unwrapping
############################################################
from isceobj.Alos2Proc.Alos2ProcPublic import snaphuUnwrap
for k in range(2):
tmid = referenceTrack.sensingStart + datetime.timedelta(seconds=(self._insar.numberAzimuthLooks1-1.0)/2.0*referenceTrack.azimuthLineInterval+
referenceTrack.numberOfLines/2.0*self._insar.numberAzimuthLooks1*referenceTrack.azimuthLineInterval)
if self.filterSubbandInt:
toBeUnwrapped = 'filt_'+subbandPrefix[k]+ml2+'.int'
coherenceFile = subbandPrefix[k]+ml2+'.phsig'
else:
toBeUnwrapped = subbandPrefix[k]+ml2+'.int'
coherenceFile = 'diff'+ml2+'.cor'
snaphuUnwrap(referenceTrack, tmid,
toBeUnwrapped,
coherenceFile,
subbandPrefix[k]+ml2+'.unw',
self._insar.numberRangeLooks1*self._insar.numberRangeLooksIon,
self._insar.numberAzimuthLooks1*self._insar.numberAzimuthLooksIon,
costMode = 'SMOOTH',initMethod = 'MCF', defomax = 2, initOnly = True)
os.chdir('../../')
catalog.printToLog(logger, "runIonUwrap")
self._insar.procDoc.addAllFromCatalog(catalog)
def runFiltSd(self):
'''filter interferogram
'''
catalog = isceobj.Catalog.createCatalog(self._insar.procDoc.name)
self.updateParamemetersFromUser()
#masterTrack = self._insar.loadTrack(master=True)
#slaveTrack = self._insar.loadTrack(master=False)
sdDir = 'sd'
os.makedirs(sdDir, exist_ok=True)
os.chdir(sdDir)
sd = isceobj.createImage()
sd.load(self._insar.multilookInterferogramSd[0] + '.xml')
width = sd.width
length = sd.length
############################################################
# STEP 1. filter interferogram
############################################################
for sdInterferogram, sdInterferogramFilt, sdCoherence in zip(
self._insar.multilookInterferogramSd,
self._insar.filteredInterferogramSd,
self._insar.multilookCoherenceSd):
print('filter interferogram: {}'.format(sdInterferogram))
#remove mangnitude
data = np.fromfile(sdInterferogram,
dtype=np.complex64).reshape(length, width)
index = np.nonzero(data != 0)
data[index] /= np.absolute(data[index])
data.astype(np.complex64).tofile('tmp.int')
#filter
windowSize = self.filterWinsizeSd
stepSize = self.filterStepsizeSd
psfilt1('tmp.int', sdInterferogramFilt, width, self.filterStrengthSd,
windowSize, stepSize)
create_xml(sdInterferogramFilt, width, length, 'int')
os.remove('tmp.int')
#restore magnitude
data = np.fromfile(sdInterferogram,
dtype=np.complex64).reshape(length, width)
dataFilt = np.fromfile(sdInterferogramFilt,
dtype=np.complex64).reshape(length, width)
index = np.nonzero(dataFilt != 0)
dataFilt[index] = dataFilt[index] / np.absolute(
dataFilt[index]) * np.absolute(data[index])
dataFilt.astype(np.complex64).tofile(sdInterferogramFilt)
# #create a coherence using an interferogram with most sparse fringes
# if sdInterferogramFilt == self._insar.filteredInterferogramSd[0]:
# print('create coherence using: {}'.format(sdInterferogramFilt))
# cor = cal_coherence(dataFilt, win=3, edge=2)
# cor.astype(np.float32).tofile(self._insar.multilookCoherenceSd)
# create_xml(self._insar.multilookCoherenceSd, width, length, 'float')
cor = cal_coherence(dataFilt, win=3, edge=2)
cor.astype(np.float32).tofile(sdCoherence)
create_xml(sdCoherence, width, length, 'float')
############################################################
# STEP 3. mask filtered interferogram using water body
############################################################
if self.waterBodyMaskStartingStepSd == 'filt':
print('mask filtered interferogram using: {}'.format(
self._insar.multilookWbdOutSd))
wbd = np.fromfile(self._insar.multilookWbdOutSd,
dtype=np.int8).reshape(length, width)
cor = np.memmap(self._insar.multilookCoherenceSd,
dtype='float32',
mode='r+',
shape=(length, width))
cor[np.nonzero(wbd == -1)] = 0
for sdInterferogramFilt in self._insar.filteredInterferogramSd:
filt = np.memmap(sdInterferogramFilt,
dtype='complex64',
mode='r+',
shape=(length, width))
filt[np.nonzero(wbd == -1)] = 0
os.chdir('../')
catalog.printToLog(logger, "runFiltSd")
self._insar.procDoc.addAllFromCatalog(catalog)