def main(argv):
try:
dem_file = argv[1]
dem_error = argv[2]
except:
print '''
*******************************************
Usage: correct_dem.py demFile geo_demErrorFile
Example:
correct_dem.py $DEMDIR/Socorro-30/Socorro_30.dem geo_DEM_error.h5
correct_dem.py $DEMDIR/Socorro-30/Socorro_30.dem geo_DEM_error.h5
*******************************************
'''
sys.exit(1)
dem, demrsc = _readfile.read_dem(dem_file)
g = h5py.File(dem_error, 'r')
dset = g['dem'].get('dem')
dem_error = dset[0:dset.shape[0]]
print 'Correcting the DEM'
sum = dem + dem_error
print 'Creating the new DEM'
_writefile.write_dem(sum, 'DEM_w_error.dem')
rsc_file = open('DEM_w_error.dem.rsc', 'w')
for k in demrsc.keys():
rsc_file.write(k + ' ' + demrsc[k] + '\n')
rsc_file.close
date12_file = open('111111-222222_baseline.rsc', 'w')
date12_file.write('P_BASELINE_TOP_ODR' + ' ' + '000')
date12_file.close
def main(argv):
try:
dem_file = argv[1]
dem_error = argv[2]
operation = argv[3]
except:
print '''
*******************************************
Usage: correct_dem.py demFile geo_demErrorFile Operation(add or subtract)
Example:
correct_dem.py $DEMDIR/Socorro-30/Socorro_30.dem geo_DEM_error.h5 add
correct_dem.py $DEMDIR/Socorro-30/Socorro_30.dem geo_DEM_error.h5 subtract
*******************************************
'''
sys.exit(1)
dem, demrsc = _readfile.read_dem(dem_file)
g = h5py.File(dem_error, 'r')
dset = g['dem'].get('dem')
dem_error = dset[0:dset.shape[0]]
column, row = dem.shape
xmax = (column - 1)
ymax = (row - 1)
DIR = os.getcwd()
if operation == 'add':
print 'Adding estimated errors to DEM'
sum = dem + dem_error
_writefile.write_dem(sum, 'DEM_+_error.dem')
rsc_file = open('DEM_+_error.dem.rsc', 'w')
for k in demrsc.keys():
rsc_file.write(k + ' ' + demrsc[k] + '\n')
rsc_file.close
date12_file = open('111111-222222_baseline.rsc', 'w')
date12_file.write('P_BASELINE_TOP_ODR' + ' ' + '000')
date12_file.close
if operation == 'subtract':
print 'Subtracting estimated errors from DEM'
diff = dem - dem_error
_writefile.write_dem(diff, 'DEM_-_error.dem')
rsc_file = open('DEM_-_error.dem.rsc', 'w')
for k in demrsc.keys():
rsc_file.write(k + ' ' + demrsc[k] + '\n')
rsc_file.close
date12_file = open('111111-222222_baseline.rsc', 'w')
date12_file.write('P_BASELINE_TOP_ODR' + ' ' + '000')
date12_file.close
def main(argv):
try:
dem_file = argv[1]
dem_error = argv[2]
except:
print '''
*******************************************
Usage: correct_dem.py demFile geo_demErrorFile
Example:
correct_dem.py $DEMDIR/Socorro-30/Socorro_30.dem geo_DEM_error.h5
correct_dem.py $DEMDIR/Socorro-30/Socorro_30.dem geo_DEM_error.h5
*******************************************
'''
sys.exit(1)
dem, demrsc = _readfile.read_dem(dem_file)
g = h5py.File(dem_error,'r')
dset = g['dem'].get('dem')
dem_error = dset[0:dset.shape[0]]
print 'Correcting the DEM'
sum = dem + dem_error
print 'Creating the new DEM'
_writefile.write_dem(sum,'DEM_w_error.dem')
rsc_file = open('DEM_w_error.dem.rsc','w')
for k in demrsc.keys():
rsc_file.write(k+' '+demrsc[k]+'\n')
rsc_file.close
date12_file=open('111111-222222_baseline.rsc','w')
date12_file.write('P_BASELINE_TOP_ODR'+' '+ '000')
date12_file.close
def main(argv):
try:
file = argv[0]
alks = float(argv[1])
rlks = float(argv[2])
except:
try:
file = argv[0]
alks = float(argv[1])
rlks = float(argv[1])
except:
Usage()
sys.exit(1)
ext = os.path.splitext(file)[1]
outName = file.split('.')[0] + '_a' + str(int(alks)) + 'lks_r' + str(
int(rlks)) + 'lks' + ext
################################################################################
if ext == '.h5':
import h5py
h5file_mli = h5py.File(outName, 'w')
h5file = h5py.File(file, 'r')
k = h5file.keys()
if 'interferograms' in k: k[0] = 'interferograms'
elif 'coherence' in k: k[0] = 'coherence'
elif 'timeseries' in k: k[0] = 'timeseries'
if k[0] in ['interferograms', 'coherence', 'wrapped']:
print 'Multilooking the interferograms'
gg = h5file_mli.create_group(k[0])
igramList = h5file[k[0]].keys()
for igram in igramList:
print igram
unw = h5file[k[0]][igram].get(igram)
unwlks = multilook(unw, alks, rlks)
group = gg.create_group(igram)
dset = group.create_dataset(igram,
data=unwlks,
compression='gzip')
for key, value in h5file[k[0]][igram].attrs.iteritems():
group.attrs[key] = value
group.attrs['WIDTH'] = unwlks.shape[1]
group.attrs['FILE_LENGTH'] = unwlks.shape[0]
try:
group.attrs['Y_STEP'] = alks * float(group.attrs['Y_STEP'])
group.attrs['X_STEP'] = rlks * float(group.attrs['X_STEP'])
except:
group.attrs['AZIMUTH_PIXEL_SIZE'] = alks * float(
group.attrs['AZIMUTH_PIXEL_SIZE'])
group.attrs['RANGE_PIXEL_SIZE'] = rlks * float(
group.attrs['RANGE_PIXEL_SIZE'])
try:
dset1 = h5file['mask'].get('mask')
mask = dset1[0:dset1.shape[0], 0:dset1.shape[1]]
masklks = multilook(mask, alks, rlks)
group = h5file_mli.create_group('mask')
dset = group.create_dataset('mask',
data=masklks,
compression='gzip')
except:
print 'No mask group found.'
elif k[0] in [
'timeseries', 'temporal_coherence', 'velocity', 'mask', 'rmse'
]:
print 'Multilooking ' + k[0]
group = h5file_mli.create_group(k[0])
if k[0] == 'timeseries':
dateList = h5file[k[0]].keys()
for d in dateList:
print d
unw = h5file[k[0]].get(d)
unwlks = multilook(unw, alks, rlks)
dset = group.create_dataset(d,
data=unwlks,
compression='gzip')
elif k[0] in ['temporal_coherence', 'velocity', 'mask', 'rmse']:
dset1 = h5file[k[0]].get(k[0])
unw = dset1[0:dset1.shape[0], 0:dset1.shape[1]]
unwlks = multilook(unw, alks, rlks)
dset = group.create_dataset(k[0],
data=unwlks,
compression='gzip')
try:
dset1 = h5file['mask'].get('mask')
Mask = dset1[0:dset1.shape[0], 0:dset1.shape[1]]
Masklks = multilook(Mask, alks, rlks)
group = h5file_mli.create_group('mask')
dset = group.create_dataset('mask',
data=Masklks,
compression='gzip')
except:
print 'No mask group found.'
## Update attributes
for key, value in h5file[k[0]].attrs.iteritems():
group.attrs[key] = value
group.attrs['WIDTH'] = unwlks.shape[1]
group.attrs['FILE_LENGTH'] = unwlks.shape[0]
try:
group.attrs['Y_STEP'] = alks * float(group.attrs['Y_STEP'])
group.attrs['X_STEP'] = rlks * float(group.attrs['X_STEP'])
except:
group.attrs['AZIMUTH_PIXEL_SIZE'] = alks * float(
group.attrs['AZIMUTH_PIXEL_SIZE'])
group.attrs['RANGE_PIXEL_SIZE'] = rlks * float(
group.attrs['RANGE_PIXEL_SIZE'])
h5file.close()
h5file_mli.close()
################################################################################
elif ext in ['.unw','.cor','.hgt','.dem','.trans'] or\
ext in ['.jpeg','.jpg','.png','.ras','.bmp'] or\
ext in ['.mli','.slc']:
import pysar._readfile as readfile
import pysar._writefile as writefile
r = readfile.read_rsc_file(file + '.rsc')
if ext == '.int' or ext == '.slc':
a, p, r = readfile.read_complex64(file)
pmli = multilook(p, alks, rlks)
amli = multilook(a, alks, rlks)
r['FILE_LENGTH'] = str(pmli.shape[0])
r['WIDTH'] = str(pmli.shape[1])
elif ext == '.unw' or ext == '.cor' or ext == '.hgt':
a, p, r = readfile.read_float32(file)
pmli = multilook(p, alks, rlks)
amli = multilook(a, alks, rlks)
print 'writing >>>' + outName
writefile.write_float32(pmli, outName)
r['FILE_LENGTH'] = str(pmli.shape[0])
r['WIDTH'] = str(pmli.shape[1])
elif ext == ('.dem'):
d, r = readfile.read_dem(file)
dmli = multilook(d, alks, rlks)
print 'writing >>>' + outName
writefile.write_dem(dmli, outName)
r['FILE_LENGTH'] = str(dmli.shape[0])
r['WIDTH'] = str(dmli.shape[1])
elif ext in ['.jpeg', '.jpg', '.png', '.bmp']:
import Image
im = Image.open(file)
width = im.size[0] / int(rlks)
height = im.size[1] / int(alks)
imlks = im.resize((width, height), Image.NEAREST)
print 'writing >>>' + outName
imlks.save(outName)
r['FILE_LENGTH'] = str(height)
r['WIDTH'] = str(width)
## Update attributes
r['XMAX'] = str(int(r['WIDTH']) - 1)
r['YMAX'] = str(int(r['FILE_LENGTH']) - 1)
try:
r['Y_STEP'] = str(float(r['Y_STEP']) * alks)
r['X_STEP'] = str(float(r['X_STEP']) * rlks)
except:
r['AZIMUTH_PIXEL_SIZE'] = alks * float(r['AZIMUTH_PIXEL_SIZE'])
r['RANGE_PIXEL_SIZE'] = rlks * float(r['RANGE_PIXEL_SIZE'])
f = open(outName + '.rsc', 'w')
for k in r.keys():
f.write(k + ' ' + r[k] + '\n')
f.close()
def main(argv):
try:
file=argv[0]
alks=float(argv[1])
rlks=float(argv[2])
except:
try:
file=argv[0]
alks=float(argv[1])
rlks=float(argv[1])
except: Usage();sys.exit(1)
ext = os.path.splitext(file)[1]
outName=file.split('.')[0]+'_a'+str(int(alks))+'lks_r'+str(int(rlks))+'lks'+ext
################################################################################
if ext == '.h5':
import h5py
h5file_mli=h5py.File(outName,'w')
h5file=h5py.File(file,'r')
k=h5file.keys()
if 'interferograms' in k: k[0] = 'interferograms'
elif 'coherence' in k: k[0] = 'coherence'
elif 'timeseries' in k: k[0] = 'timeseries'
if k[0] in ['interferograms','coherence','wrapped']:
print 'Multilooking the interferograms'
gg = h5file_mli.create_group(k[0])
igramList=h5file[k[0]].keys()
for igram in igramList:
print igram
unw = h5file[k[0]][igram].get(igram)
unwlks=multilook(unw,alks,rlks)
group = gg.create_group(igram)
dset = group.create_dataset(igram, data=unwlks, compression='gzip')
for key, value in h5file[k[0]][igram].attrs.iteritems():
group.attrs[key] = value
group.attrs['WIDTH'] = unwlks.shape[1]
group.attrs['FILE_LENGTH'] = unwlks.shape[0]
try:
group.attrs['Y_STEP']=alks*float(group.attrs['Y_STEP'])
group.attrs['X_STEP']=rlks*float(group.attrs['X_STEP'])
except:
group.attrs['AZIMUTH_PIXEL_SIZE'] = alks*float(group.attrs['AZIMUTH_PIXEL_SIZE'])
group.attrs['RANGE_PIXEL_SIZE'] = rlks*float(group.attrs['RANGE_PIXEL_SIZE'])
try:
dset1=h5file['mask'].get('mask')
mask=dset1[0:dset1.shape[0],0:dset1.shape[1]]
masklks=multilook(mask,alks,rlks)
group=h5file_mli.create_group('mask')
dset = group.create_dataset('mask', data=masklks, compression='gzip')
except: print 'No mask group found.'
elif k[0] in ['timeseries','temporal_coherence', 'velocity', 'mask', 'rmse']:
print 'Multilooking '+k[0]
group = h5file_mli.create_group(k[0])
if k[0] == 'timeseries':
dateList=h5file[k[0]].keys()
for d in dateList:
print d
unw = h5file[k[0]].get(d)
unwlks=multilook(unw,alks,rlks)
dset = group.create_dataset(d, data=unwlks, compression='gzip')
elif k[0] in ['temporal_coherence', 'velocity', 'mask', 'rmse']:
dset1 = h5file[k[0]].get(k[0])
unw = dset1[0:dset1.shape[0],0:dset1.shape[1]]
unwlks=multilook(unw,alks,rlks)
dset = group.create_dataset(k[0], data=unwlks, compression='gzip')
try:
dset1 = h5file['mask'].get('mask')
Mask = dset1[0:dset1.shape[0],0:dset1.shape[1]]
Masklks=multilook(Mask,alks,rlks)
group=h5file_mli.create_group('mask')
dset = group.create_dataset('mask', data=Masklks, compression='gzip')
except: print 'No mask group found.'
## Update attributes
for key,value in h5file[k[0]].attrs.iteritems(): group.attrs[key] = value
group.attrs['WIDTH'] = unwlks.shape[1]
group.attrs['FILE_LENGTH'] = unwlks.shape[0]
try:
group.attrs['Y_STEP']=alks*float(group.attrs['Y_STEP'])
group.attrs['X_STEP']=rlks*float(group.attrs['X_STEP'])
except:
group.attrs['AZIMUTH_PIXEL_SIZE'] = alks*float(group.attrs['AZIMUTH_PIXEL_SIZE'])
group.attrs['RANGE_PIXEL_SIZE'] = rlks*float(group.attrs['RANGE_PIXEL_SIZE'])
h5file.close()
h5file_mli.close()
################################################################################
elif ext in ['.unw','.cor','.hgt','.dem','.trans'] or\
ext in ['.jpeg','.jpg','.png','.ras','.bmp'] or\
ext in ['.mli','.slc']:
import pysar._readfile as readfile
import pysar._writefile as writefile
r = readfile.read_rsc_file(file + '.rsc')
if ext == '.int' or ext == '.slc':
a,p,r = readfile.read_complex64(file)
pmli=multilook(p,alks,rlks)
amli=multilook(a,alks,rlks)
r['FILE_LENGTH']=str(pmli.shape[0])
r['WIDTH'] =str(pmli.shape[1])
elif ext == '.unw' or ext == '.cor' or ext == '.hgt':
a,p,r = readfile.read_float32(file)
pmli=multilook(p,alks,rlks)
amli=multilook(a,alks,rlks)
print 'writing >>>'+outName
writefile.write_float32(pmli,outName)
r['FILE_LENGTH']=str(pmli.shape[0])
r['WIDTH'] =str(pmli.shape[1])
elif ext == ('.dem'):
d,r = readfile.read_dem(file)
dmli=multilook(d,alks,rlks)
print 'writing >>>'+outName
writefile.write_dem(dmli,outName)
r['FILE_LENGTH']=str(dmli.shape[0])
r['WIDTH'] =str(dmli.shape[1])
elif ext in ['.jpeg','.jpg','.png','.bmp']:
import Image
im = Image.open(file)
width = im.size[0] / int(rlks)
height = im.size[1] / int(alks)
imlks = im.resize((width, height), Image.NEAREST)
print 'writing >>>'+outName
imlks.save(outName)
r['FILE_LENGTH']=str(height)
r['WIDTH'] =str(width)
## Update attributes
r['XMAX']=str(int(r['WIDTH']) - 1)
r['YMAX']=str(int(r['FILE_LENGTH']) - 1)
try:
r['Y_STEP']=str(float(r['Y_STEP'])*alks)
r['X_STEP']=str(float(r['X_STEP'])*rlks)
except:
r['AZIMUTH_PIXEL_SIZE'] = alks*float(r['AZIMUTH_PIXEL_SIZE'])
r['RANGE_PIXEL_SIZE'] = rlks*float(r['RANGE_PIXEL_SIZE'])
f = open(outName+'.rsc','w')
for k in r.keys():
f.write(k+' '+r[k]+'\n')
f.close()
def main(argv):
if len(sys.argv) > 2:
try:
opts, args = getopt.getopt(argv, "h:f:x:y:o:l:L:")
except getopt.GetoptError:
print 'Error while getting args'
Usage()
sys.exit(1)
for opt, arg in opts:
if opt in ("-h", "--help"):
Usage()
sys.exit()
elif opt == '-f':
File = arg
elif opt == '-y':
ysub = [int(i) for i in arg.split(':')]
ysub.sort()
elif opt == '-x':
xsub = [int(i) for i in arg.split(':')]
xsub.sort()
elif opt == '-o':
outName = arg
elif opt == '-l':
Latsub = [float(i) for i in arg.split(':')]
Latsub.sort()
elif opt == '-L':
Lonsub = [float(i) for i in arg.split(':')]
Lonsub.sort()
else:
Usage()
sys.exit(1)
try:
outName
except:
outName = 'subset_' + File
ext = os.path.splitext(File)[1]
############################################################################
################################# PySAR ##################################
if ext == '.h5':
try:
h5file = h5py.File(File, 'r')
except:
Usage()
sys.exit(1)
k = h5file.keys()
if 'interferograms' in k: k[0] = 'interferograms'
elif 'coherence' in k: k[0] = 'coherence'
elif 'timeseries' in k: k[0] = 'timeseries'
if k[0] in ('interferograms', 'coherence', 'wrapped'):
atr = h5file[k[0]][h5file[k[0]].keys()[0]].attrs
elif k[0] in ('dem', 'velocity', 'mask', 'temporal_coherence', 'rmse',
'timeseries'):
atr = h5file[k[0]].attrs
############# Subset Option #############
width = int(atr['WIDTH'])
length = int(atr['FILE_LENGTH'])
try:
Latsub
try:
lat_step = float(atr['Y_STEP'])
lat1 = float(atr['Y_FIRST'])
lat0 = lat1 + length * lat_step
if Latsub[0] < lat0:
Latsub[0] = lat0
print 'WARNING: input latitude < min (' + str(
lat0) + ')! Set it to min.'
if Latsub[1] > lat1:
Latsub[1] = lat1
print 'WARNING: input latitude > max (' + str(
lat1) + ')! Set it to max.'
print 'subset in latitude - ' + str(Latsub[0]) + ':' + str(
Latsub[1])
ysub = [0] * 2
ysub[0] = int((Latsub[1] - lat1) / lat_step)
ysub[1] = int((Latsub[0] - lat1) / lat_step)
except:
print 'Not geocoded file, cannot be subseted with LatLon.'
Usage()
return
except:
try:
ysub
if ysub[0] < 0:
ysub[0] = 0
print 'WARNING: input y < min (0)! Set it to min.'
if ysub[1] > length:
ysub[1] = length
print 'WARNING: input y > max (' + str(
length) + ')! Set it to max.'
print 'subset in y direction - ' + str(ysub[0]) + ':' + str(
ysub[1])
except:
ysub = [0, length]
try:
Lonsub
try:
lon_step = float(atr['X_STEP'])
lon0 = float(atr['X_FIRST'])
lon1 = lon0 + width * lon_step
if Lonsub[0] < lon0:
Lonsub[0] = lon0
print 'WARNING: input longitude < min (' + str(
lon0) + ')! Set it to min.'
if Lonsub[1] > lon1:
Lonsub[1] = lon1
print 'WARNING: input longitude > max (' + str(
lon1) + ')! Set it to max.'
print 'subset in longitude - ' + str(Lonsub[0]) + ':' + str(
Lonsub[1])
xsub = [0] * 2
xsub[0] = int((Lonsub[0] - lon0) / lon_step)
xsub[1] = int((Lonsub[1] - lon0) / lon_step)
except:
print 'Not geocoded file, cannot be subseted with LatLon.'
Usage()
return
except:
try:
xsub
if xsub[0] < 0:
xsub[0] = 0
print 'WARNING: input x < min (0)! Set it to min.'
if xsub[1] > width:
xsub[1] = width
print 'WARNING: input x > max (' + str(
width) + ')! Set it to max x.'
print 'subset in x direction - ' + str(xsub[0]) + ':' + str(
xsub[1])
except:
xsub = [0, width]
if ysub[0] > length or ysub[1] < 0 or xsub[0] > length or xsub[1] < 0:
print 'ERROR: input index is out of data range!'
print 'range in rdr: x - 0:' + str(width) + ' y - 0:' + str(
length)
try:
print 'range in geo: lat - ' + str(lat0) + ':' + str(
lat1) + ' lon - ' + str(lon0) + ':' + str(lon1)
except:
Geo = 0
sys.exit(1)
######## Data Read, Crop and Write #######
##### N dset, N attributes
if k[0] in ('interferograms', 'coherence', 'wrapped'):
print 'writing >>> ' + outName
h5out = h5py.File(outName, 'w')
gg = h5out.create_group(k[0])
igramList = h5file[k[0]].keys()
for igram in igramList:
print igram
dset1 = h5file[k[0]][igram].get(igram)
group = gg.create_group(igram)
dset = group.create_dataset(igram,
data=dset1[ysub[0]:ysub[1],
xsub[0]:xsub[1]],
compression='gzip')
for key, value in h5file[k[0]][igram].attrs.iteritems():
group.attrs[key] = value
group.attrs['FILE_LENGTH'] = ysub[1] - ysub[0]
group.attrs['WIDTH'] = xsub[1] - xsub[0]
try:
sub_x0_ori = int(group.attrs['subset_x0'])
group.attrs['subset_x0'] = xsub[0] + sub_x0_ori
group.attrs['subset_x1'] = xsub[1] + sub_x0_ori
except:
group.attrs['subset_x0'] = xsub[0]
group.attrs['subset_x1'] = xsub[1]
try:
sub_y0_ori = int(group.attrs['subset_y0'])
group.attrs['subset_y0'] = ysub[0] + sub_y0_ori
group.attrs['subset_y1'] = ysub[1] + sub_y0_ori
except:
group.attrs['subset_y0'] = ysub[0]
group.attrs['subset_y1'] = ysub[1]
if 'X_FIRST' in atr.keys():
group.attrs['X_FIRST'] = float(
atr['X_FIRST']) + xsub[0] * float(atr['X_STEP'])
group.attrs['Y_FIRST'] = float(
atr['Y_FIRST']) + ysub[0] * float(atr['Y_STEP'])
## support of old format
try:
Mset = h5file['mask'].get('mask')
gm = h5out.create_group('mask')
dset = gm.create_dataset('mask',
data=Mset[ysub[0]:ysub[1],
xsub[0]:xsub[1]],
compression='gzip')
except:
print 'No group for mask found in the file.'
try:
Cset = h5file['meanCoherence'].get('meanCoherence')
gm = h5out.create_group('meanCoherence')
dset = gm.create_dataset('meanCoherence',
data=Cset[ysub[0]:ysub[1],
xsub[0]:xsub[1]],
compression='gzip')
except:
print 'No group for meanCoherence found in the file'
h5file.close()
h5out.close()
##### N/1 dset, 1 attributes
elif k[0] in [
'timeseries', 'temporal_coherence', 'velocity', 'mask', 'rmse'
]:
print 'writing >>> ' + outName
h5out = h5py.File(outName, 'w')
group = h5out.create_group(k[0])
if k[0] == 'timeseries':
dateList = h5file[k[0]].keys()
for d in dateList:
print d
dset1 = h5file[k[0]].get(d)
dset = group.create_dataset(d,
data=dset1[ysub[0]:ysub[1],
xsub[0]:xsub[1]],
compression='gzip')
elif k[0] in ['temporal_coherence', 'velocity', 'mask', 'rmse']:
dset1 = h5file[k[0]].get(k[0])
dset = group.create_dataset(k[0],
data=dset1[ysub[0]:ysub[1],
xsub[0]:xsub[1]],
compression='gzip')
## Update attributes
for key, value in h5file[k[0]].attrs.iteritems():
group.attrs[key] = value
group.attrs['FILE_LENGTH'] = ysub[1] - ysub[0]
group.attrs['WIDTH'] = xsub[1] - xsub[0]
try:
sub_x0_ori = int(group.attrs['subset_x0'])
group.attrs['subset_x0'] = xsub[0] + sub_x0_ori
group.attrs['subset_x1'] = xsub[1] + sub_x0_ori
except:
group.attrs['subset_x0'] = xsub[0]
group.attrs['subset_x1'] = xsub[1]
try:
sub_y0_ori = int(group.attrs['subset_y0'])
group.attrs['subset_y0'] = ysub[0] + sub_y0_ori
group.attrs['subset_y1'] = ysub[1] + sub_y0_ori
except:
group.attrs['subset_y0'] = ysub[0]
group.attrs['subset_y1'] = ysub[1]
if 'X_FIRST' in atr.keys():
group.attrs['X_FIRST'] = float(
atr['X_FIRST']) + xsub[0] * float(atr['X_STEP'])
group.attrs['Y_FIRST'] = float(
atr['Y_FIRST']) + ysub[0] * float(atr['Y_STEP'])
h5file.close()
h5out.close()
else:
print 'Error: group of HDF5 file not recogized!'
h5file.close()
Usage()
sys.exit(1)
############################################################################
######################### ROI_PAC / Image / GAMMA ########################
elif ext in ['.unw','.cor','.hgt','.dem','.trans'] or\
ext in ['.jpeg','.jpg','.png','.ras','.bmp'] or\
ext in ['.mli','.slc']:
try:
atr = readfile.read_rsc_file(File + '.rsc')
except:
try:
atr = readfile.read_par_file(File + '.par')
except:
atr = readfile.read_par_file(
os.path.splitext(File)[0] + '.par')
############# Subset Option #############
try:
width = int(atr['WIDTH'])
length = int(atr['FILE_LENGTH'])
except:
width = int(atr['range_samples:'])
length = int(atr['azimuth_lines:'])
try:
Latsub
try:
lat_step = float(atr['Y_STEP'])
lat1 = float(atr['Y_FIRST'])
lat0 = lat1 + length * lat_step
if Latsub[0] < lat0:
Latsub[0] = lat0
print 'WARNING: input latitude < min (' + str(
lat0) + ')! Set it to min.'
if Latsub[1] > lat1:
Latsub[1] = lat1
print 'WARNING: input latitude > max (' + str(
lat1) + ')! Set it to max.'
print 'subset in latitude - ' + str(Latsub[0]) + ':' + str(
Latsub[1])
ysub = [0] * 2
ysub[0] = int((Latsub[1] - lat1) / lat_step)
ysub[1] = int((Latsub[0] - lat1) / lat_step)
except:
print 'Not geocoded file, cannot be subseted with LatLon.'
Usage()
return
except:
try:
ysub
if ysub[0] < 0:
ysub[0] = 0
print 'WARNING: input y < min (0)! Set it to min.'
if ysub[1] > length:
ysub[1] = length
print 'WARNING: input y > max (' + str(
length) + ')! Set it to max.'
print 'subset in y direction - ' + str(ysub[0]) + ':' + str(
ysub[1])
except:
ysub = [0, length]
try:
Lonsub
try:
lon_step = float(atr['X_STEP'])
lon0 = float(atr['X_FIRST'])
lon1 = lon0 + width * lon_step
if Lonsub[0] < lon0:
Lonsub[0] = lon0
print 'WARNING: input longitude < min (' + str(
lon0) + ')! Set it to min.'
if Lonsub[1] > lon1:
Lonsub[1] = lon1
print 'WARNING: input longitude > max (' + str(
lon1) + ')! Set it to max.'
print 'subset in longitude - ' + str(Lonsub[0]) + ':' + str(
Lonsub[1])
xsub = [0] * 2
xsub[0] = int((Lonsub[0] - lon0) / lon_step)
xsub[1] = int((Lonsub[1] - lon0) / lon_step)
except:
print 'Not geocoded file, cannot be subseted with LatLon.'
Usage()
return
except:
try:
xsub
if xsub[0] < 0:
xsub[0] = 0
print 'WARNING: input x < min (0)! Set it to min.'
if xsub[1] > width:
xsub[1] = width
print 'WARNING: input x > max (' + str(
width) + ')! Set it to max x.'
print 'subset in x direction - ' + str(xsub[0]) + ':' + str(
xsub[1])
except:
xsub = [0, width]
if ysub[0] > length or ysub[1] < 0 or xsub[0] > length or xsub[1] < 0:
print 'ERROR: input index is out of data range!'
print 'range in rdr: x - 0:' + str(width) + ' y - 0:' + str(
length)
try:
print 'range in geo: lat - ' + str(lat0) + ':' + str(
lat1) + ' lon - ' + str(lon0) + ':' + str(lon1)
except:
Geo = 0
sys.exit(1)
######## Data Read, Crop and Write #######
print 'writing >>> ' + outName
box = (xsub[0], ysub[0], xsub[1], ysub[1])
if ext in ['.unw', '.cor', '.hgt']:
a, p, r = readfile.read_float32(File, box)
#p = p[ysub[0]:ysub[1],xsub[0]:xsub[1]]
writefile.write_float32(p, outName)
elif ext == '.dem':
p, r = readfile.read_dem(File)
p = p[ysub[0]:ysub[1], xsub[0]:xsub[1]]
writefile.write_dem(p, outName)
elif ext == '.trans':
a, p, r = readfile.read_float32(File, box)
#a = a[ysub[0]:ysub[1],xsub[0]:xsub[1]]
#p = p[ysub[0]:ysub[1],xsub[0]:xsub[1]]
writefile.write_float32(a, p, outName)
elif ext in ['.jpeg', '.jpg', '.png', '.ras', '.bmp']:
import Image
im = Image.open(File)
box = (xsub[0], ysub[0], xsub[1], ysub[1])
output_img = im.crop(box)
output_img.save(outName)
elif ext == '.mli':
d, r = readfile.read_gamma_float(File)
d = d[ysub[0]:ysub[1], xsub[0]:xsub[1]]
writefile.write_gamma_float(d, outName)
elif ext == '.slc':
d, r = readfile.read_gamma_scomplex(File, box)
writefile.write_gamma_scomplex(d, outName)
########### Update .rsc file #############
atr['FILE_LENGTH'] = str(ysub[1] - ysub[0])
atr['WIDTH'] = str(xsub[1] - xsub[0])
atr['XMAX'] = str(width - 1)
atr['YMAX'] = str(length - 1)
try:
sub_x0_ori = int(atr['subset_x0'])
atr['subset_x0'] = str(xsub[0] + sub_x0_ori)
atr['subset_x1'] = str(xsub[1] + sub_x0_ori)
except:
atr['subset_x0'] = str(xsub[0])
atr['subset_x1'] = str(xsub[1])
try:
sub_y0_ori = int(atr['subset_y0'])
atr['subset_y0'] = str(ysub[0] + sub_y0_ori)
atr['subset_y1'] = str(ysub[1] + sub_y0_ori)
except:
atr['subset_y0'] = str(ysub[0])
atr['subset_y1'] = str(ysub[1])
if 'X_FIRST' in atr.keys():
atr['Y_FIRST'] = str(
float(atr['Y_FIRST']) + ysub[0] * float(atr['Y_STEP']))
atr['X_FIRST'] = str(
float(atr['X_FIRST']) + xsub[0] * float(atr['X_STEP']))
f = open(outName + '.rsc', 'w')
for k in atr.keys():
f.write(k + ' ' + atr[k] + '\n')
f.close()
###########################################################################
else:
print 'File extension not recogized.'
Usage()
sys.exit(1)
def main(argv):
if len(sys.argv)>2:
try:
opts, args = getopt.getopt(argv,"h:f:x:y:o:l:L:")
except getopt.GetoptError:
print 'Error while getting args'
Usage() ; sys.exit(1)
for opt,arg in opts:
if opt in ("-h","--help"): Usage() ; sys.exit()
elif opt == '-f': File = arg
elif opt == '-y': ysub = [int(i) for i in arg.split(':')]; ysub.sort()
elif opt == '-x': xsub = [int(i) for i in arg.split(':')]; xsub.sort()
elif opt == '-o': outName=arg
elif opt == '-l': Latsub = [float(i) for i in arg.split(':')]; Latsub.sort()
elif opt == '-L': Lonsub = [float(i) for i in arg.split(':')]; Lonsub.sort()
else: Usage(); sys.exit(1)
try: outName
except: outName='subset_'+File
ext = os.path.splitext(File)[1]
############################################################################
################################# PySAR ##################################
if ext == '.h5':
try: h5file=h5py.File(File,'r')
except: Usage() ; sys.exit(1)
k=h5file.keys()
if 'interferograms' in k: k[0] = 'interferograms'
elif 'coherence' in k: k[0] = 'coherence'
elif 'timeseries' in k: k[0] = 'timeseries'
if k[0] in ('interferograms','coherence','wrapped'):
atr = h5file[k[0]][h5file[k[0]].keys()[0]].attrs
elif k[0] in ('dem','velocity','mask','temporal_coherence','rmse','timeseries'):
atr = h5file[k[0]].attrs
############# Subset Option #############
width=int(atr['WIDTH'])
length=int(atr['FILE_LENGTH'])
try:
Latsub
try:
lat_step = float(atr['Y_STEP'])
lat1 = float(atr['Y_FIRST'])
lat0 = lat1 + length*lat_step
if Latsub[0]<lat0: Latsub[0]=lat0; print 'WARNING: input latitude < min ('+str(lat0)+')! Set it to min.'
if Latsub[1]>lat1: Latsub[1]=lat1; print 'WARNING: input latitude > max ('+str(lat1)+')! Set it to max.'
print 'subset in latitude - '+str(Latsub[0])+':'+str(Latsub[1])
ysub=[0]*2
ysub[0] = int((Latsub[1]-lat1)/lat_step)
ysub[1] = int((Latsub[0]-lat1)/lat_step)
except:
print 'Not geocoded file, cannot be subseted with LatLon.'
Usage() ; return
except:
try:
ysub
if ysub[0]<0: ysub[0]=0; print 'WARNING: input y < min (0)! Set it to min.'
if ysub[1]>length: ysub[1]=length; print 'WARNING: input y > max ('+str(length)+')! Set it to max.'
print 'subset in y direction - '+str(ysub[0])+':'+str(ysub[1])
except: ysub = [0,length]
try:
Lonsub
try:
lon_step = float(atr['X_STEP'])
lon0 = float(atr['X_FIRST'])
lon1 = lon0 + width*lon_step
if Lonsub[0]<lon0: Lonsub[0]=lon0; print 'WARNING: input longitude < min ('+str(lon0)+')! Set it to min.'
if Lonsub[1]>lon1: Lonsub[1]=lon1; print 'WARNING: input longitude > max ('+str(lon1)+')! Set it to max.'
print 'subset in longitude - '+str(Lonsub[0])+':'+str(Lonsub[1])
xsub=[0]*2
xsub[0]=int((Lonsub[0]-lon0)/lon_step)
xsub[1]=int((Lonsub[1]-lon0)/lon_step)
except:
print 'Not geocoded file, cannot be subseted with LatLon.'
Usage() ; return
except:
try:
xsub
if xsub[0]<0: xsub[0]=0; print 'WARNING: input x < min (0)! Set it to min.'
if xsub[1]>width: xsub[1]=width; print 'WARNING: input x > max ('+str(width)+')! Set it to max x.'
print 'subset in x direction - '+str(xsub[0])+':'+str(xsub[1])
except: xsub = [0,width]
if ysub[0]>length or ysub[1]<0 or xsub[0]>length or xsub[1]<0:
print 'ERROR: input index is out of data range!'
print 'range in rdr: x - 0:'+str(width)+' y - 0:'+str(length)
try: print 'range in geo: lat - '+str(lat0)+':'+str(lat1)+' lon - '+str(lon0)+':'+str(lon1)
except: Geo=0
sys.exit(1)
######## Data Read, Crop and Write #######
##### N dset, N attributes
if k[0] in ('interferograms','coherence','wrapped'):
print 'writing >>> ' +outName
h5out=h5py.File(outName,'w')
gg=h5out.create_group(k[0])
igramList=h5file[k[0]].keys()
for igram in igramList:
print igram
dset1=h5file[k[0]][igram].get(igram)
group=gg.create_group(igram)
dset=group.create_dataset(igram, data=dset1[ysub[0]:ysub[1],xsub[0]:xsub[1]], compression='gzip')
for key, value in h5file[k[0]][igram].attrs.iteritems(): group.attrs[key] = value
group.attrs['FILE_LENGTH']=ysub[1]-ysub[0]
group.attrs['WIDTH'] =xsub[1]-xsub[0]
try:
sub_x0_ori = int(group.attrs['subset_x0'])
group.attrs['subset_x0'] = xsub[0]+sub_x0_ori
group.attrs['subset_x1'] = xsub[1]+sub_x0_ori
except:
group.attrs['subset_x0']=xsub[0]
group.attrs['subset_x1']=xsub[1]
try:
sub_y0_ori = int(group.attrs['subset_y0'])
group.attrs['subset_y0'] = ysub[0]+sub_y0_ori
group.attrs['subset_y1'] = ysub[1]+sub_y0_ori
except:
group.attrs['subset_y0']=ysub[0]
group.attrs['subset_y1']=ysub[1]
if 'X_FIRST' in atr.keys():
group.attrs['X_FIRST']=float(atr['X_FIRST']) + xsub[0]*float(atr['X_STEP'])
group.attrs['Y_FIRST']=float(atr['Y_FIRST']) + ysub[0]*float(atr['Y_STEP'])
## support of old format
try:
Mset=h5file['mask'].get('mask')
gm=h5out.create_group('mask')
dset=gm.create_dataset('mask', data=Mset[ysub[0]:ysub[1],xsub[0]:xsub[1]], compression='gzip')
except: print 'No group for mask found in the file.'
try:
Cset=h5file['meanCoherence'].get('meanCoherence')
gm=h5out.create_group('meanCoherence')
dset=gm.create_dataset('meanCoherence', data=Cset[ysub[0]:ysub[1],xsub[0]:xsub[1]], compression='gzip')
except: print 'No group for meanCoherence found in the file'
h5file.close()
h5out.close()
##### N/1 dset, 1 attributes
elif k[0] in ['timeseries', 'temporal_coherence', 'velocity', 'mask', 'rmse']:
print 'writing >>> ' +outName
h5out=h5py.File(outName,'w')
group=h5out.create_group(k[0])
if k[0] == 'timeseries':
dateList=h5file[k[0]].keys()
for d in dateList:
print d
dset1=h5file[k[0]].get(d)
dset=group.create_dataset(d, data=dset1[ysub[0]:ysub[1],xsub[0]:xsub[1]], compression='gzip')
elif k[0] in ['temporal_coherence', 'velocity', 'mask', 'rmse']:
dset1=h5file[k[0]].get(k[0])
dset=group.create_dataset(k[0],data=dset1[ysub[0]:ysub[1],xsub[0]:xsub[1]],compression='gzip')
## Update attributes
for key, value in h5file[k[0]].attrs.iteritems(): group.attrs[key] = value
group.attrs['FILE_LENGTH']=ysub[1]-ysub[0]
group.attrs['WIDTH'] =xsub[1]-xsub[0]
try:
sub_x0_ori = int(group.attrs['subset_x0'])
group.attrs['subset_x0'] = xsub[0]+sub_x0_ori
group.attrs['subset_x1'] = xsub[1]+sub_x0_ori
except:
group.attrs['subset_x0']=xsub[0]
group.attrs['subset_x1']=xsub[1]
try:
sub_y0_ori = int(group.attrs['subset_y0'])
group.attrs['subset_y0'] = ysub[0]+sub_y0_ori
group.attrs['subset_y1'] = ysub[1]+sub_y0_ori
except:
group.attrs['subset_y0']=ysub[0]
group.attrs['subset_y1']=ysub[1]
if 'X_FIRST' in atr.keys():
group.attrs['X_FIRST']=float(atr['X_FIRST']) + xsub[0]*float(atr['X_STEP'])
group.attrs['Y_FIRST']=float(atr['Y_FIRST']) + ysub[0]*float(atr['Y_STEP'])
h5file.close()
h5out.close()
else:
print 'Error: group of HDF5 file not recogized!'
h5file.close()
Usage() ; sys.exit(1)
############################################################################
######################### ROI_PAC / Image / GAMMA ########################
elif ext in ['.unw','.cor','.hgt','.dem','.trans'] or\
ext in ['.jpeg','.jpg','.png','.ras','.bmp'] or\
ext in ['.mli','.slc']:
try: atr = readfile.read_rsc_file(File + '.rsc')
except:
try: atr = readfile.read_par_file(File + '.par')
except: atr = readfile.read_par_file(os.path.splitext(File)[0] + '.par')
############# Subset Option #############
try: width = int(atr['WIDTH']); length = int(atr['FILE_LENGTH'])
except: width = int(atr['range_samples:']); length = int(atr['azimuth_lines:'])
try:
Latsub
try:
lat_step = float(atr['Y_STEP'])
lat1 = float(atr['Y_FIRST'])
lat0 = lat1 + length*lat_step
if Latsub[0]<lat0: Latsub[0]=lat0; print 'WARNING: input latitude < min ('+str(lat0)+')! Set it to min.'
if Latsub[1]>lat1: Latsub[1]=lat1; print 'WARNING: input latitude > max ('+str(lat1)+')! Set it to max.'
print 'subset in latitude - '+str(Latsub[0])+':'+str(Latsub[1])
ysub=[0]*2
ysub[0] = int((Latsub[1]-lat1)/lat_step)
ysub[1] = int((Latsub[0]-lat1)/lat_step)
except:
print 'Not geocoded file, cannot be subseted with LatLon.'
Usage() ; return
except:
try:
ysub
if ysub[0]<0: ysub[0]=0; print 'WARNING: input y < min (0)! Set it to min.'
if ysub[1]>length: ysub[1]=length; print 'WARNING: input y > max ('+str(length)+')! Set it to max.'
print 'subset in y direction - '+str(ysub[0])+':'+str(ysub[1])
except: ysub = [0,length]
try:
Lonsub
try:
lon_step = float(atr['X_STEP'])
lon0 = float(atr['X_FIRST'])
lon1 = lon0 + width*lon_step
if Lonsub[0]<lon0: Lonsub[0]=lon0; print 'WARNING: input longitude < min ('+str(lon0)+')! Set it to min.'
if Lonsub[1]>lon1: Lonsub[1]=lon1; print 'WARNING: input longitude > max ('+str(lon1)+')! Set it to max.'
print 'subset in longitude - '+str(Lonsub[0])+':'+str(Lonsub[1])
xsub=[0]*2
xsub[0]=int((Lonsub[0]-lon0)/lon_step)
xsub[1]=int((Lonsub[1]-lon0)/lon_step)
except:
print 'Not geocoded file, cannot be subseted with LatLon.'
Usage() ; return
except:
try:
xsub
if xsub[0]<0: xsub[0]=0; print 'WARNING: input x < min (0)! Set it to min.'
if xsub[1]>width: xsub[1]=width; print 'WARNING: input x > max ('+str(width)+')! Set it to max x.'
print 'subset in x direction - '+str(xsub[0])+':'+str(xsub[1])
except: xsub = [0,width]
if ysub[0]>length or ysub[1]<0 or xsub[0]>length or xsub[1]<0:
print 'ERROR: input index is out of data range!'
print 'range in rdr: x - 0:'+str(width)+' y - 0:'+str(length)
try: print 'range in geo: lat - '+str(lat0)+':'+str(lat1)+' lon - '+str(lon0)+':'+str(lon1)
except: Geo=0
sys.exit(1)
######## Data Read, Crop and Write #######
print 'writing >>> '+outName
box = (xsub[0],ysub[0],xsub[1],ysub[1])
if ext in ['.unw','.cor','.hgt']:
a,p,r = readfile.read_float32(File,box)
#p = p[ysub[0]:ysub[1],xsub[0]:xsub[1]]
writefile.write_float32(p,outName)
elif ext == '.dem':
p,r = readfile.read_dem(File)
p = p[ysub[0]:ysub[1],xsub[0]:xsub[1]]
writefile.write_dem(p,outName)
elif ext == '.trans':
a,p,r = readfile.read_float32(File,box)
#a = a[ysub[0]:ysub[1],xsub[0]:xsub[1]]
#p = p[ysub[0]:ysub[1],xsub[0]:xsub[1]]
writefile.write_float32(a,p,outName)
elif ext in ['.jpeg','.jpg','.png','.ras','.bmp']:
import Image
im = Image.open(File)
box = (xsub[0],ysub[0],xsub[1],ysub[1])
output_img = im.crop(box)
output_img.save(outName)
elif ext == '.mli':
d,r = readfile.read_gamma_float(File)
d = d[ysub[0]:ysub[1],xsub[0]:xsub[1]]
writefile.write_gamma_float(d,outName)
elif ext == '.slc':
d,r = readfile.read_gamma_scomplex(File,box)
writefile.write_gamma_scomplex(d,outName)
########### Update .rsc file #############
atr['FILE_LENGTH'] = str(ysub[1]-ysub[0])
atr['WIDTH'] = str(xsub[1]-xsub[0])
atr['XMAX'] = str(width - 1)
atr['YMAX'] = str(length - 1)
try:
sub_x0_ori = int(atr['subset_x0'])
atr['subset_x0'] = str(xsub[0] + sub_x0_ori)
atr['subset_x1'] = str(xsub[1] + sub_x0_ori)
except:
atr['subset_x0'] = str(xsub[0])
atr['subset_x1'] = str(xsub[1])
try:
sub_y0_ori = int(atr['subset_y0'])
atr['subset_y0'] = str(ysub[0] + sub_y0_ori)
atr['subset_y1'] = str(ysub[1] + sub_y0_ori)
except:
atr['subset_y0'] = str(ysub[0])
atr['subset_y1'] = str(ysub[1])
if 'X_FIRST' in atr.keys():
atr['Y_FIRST']=str(float(atr['Y_FIRST'])+ysub[0]*float(atr['Y_STEP']))
atr['X_FIRST']=str(float(atr['X_FIRST'])+xsub[0]*float(atr['X_STEP']))
f = open(outName+'.rsc','w')
for k in atr.keys():
f.write(k+' '+atr[k]+'\n')
f.close()
###########################################################################
else:
print 'File extension not recogized.'
Usage() ; sys.exit(1)
