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Merge pull request #88 from HBaldwin3/helen-azimuth 

Change doRubbersheeting to doRubbersheetingAzimuth.
LT1AB
Heresh Fattahi 2019-12-24 22:38:18 -08:00 committed by GitHub
parent 48fda5a647 851858b228
commit f43daae015
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
3 changed files with 39 additions and 41 deletions
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10
components/isceobj/StripmapProc/runDenseOffsets.py
View File

@ -62,7 +62,7 @@ def estimateOffsetField(master, slave, denseOffsetFileName,
else:
objOffset.setImageDataType2('real')
objOffset.offsetImageName = denseOffsetFileName + '.bil'
objOffset.snrImageName = denseOffsetFileName +'_snr.bil'
objOffset.covImageName = denseOffsetFileName +'_cov.bil'
@ -75,11 +75,11 @@ def estimateOffsetField(master, slave, denseOffsetFileName,
def runDenseOffsets(self):
if self.doDenseOffsets or self.doRubbersheeting:
if self.doDenseOffsets or self.doRubbersheetingAzimuth:
if self.doDenseOffsets:
print('Dense offsets explicitly requested')
if self.doRubbersheeting:
if self.doRubbersheetingAzimuth:
print('Generating offsets as rubber sheeting requested')
else:
return
@ -96,7 +96,7 @@ def runDenseOffsets(self):
os.makedirs(dirname)
denseOffsetFilename = os.path.join(dirname , self.insar.denseOffsetFilename)
field = estimateOffsetField(masterSlc, slaveSlc, denseOffsetFilename,
ww = self.denseWindowWidth,
wh = self.denseWindowHeight,
@ -107,5 +107,5 @@ def runDenseOffsets(self):
self._insar.offset_top = field[0]
self._insar.offset_left = field[1]
return None

16
components/isceobj/StripmapProc/runRubbersheet.py
View File

@ -13,13 +13,13 @@ def fill(data, invalid=None):
"""
Replace the value of invalid 'data' cells (indicated by 'invalid')
by the value of the nearest valid data cell
Input:
data: numpy array of any dimension
invalid: a binary array of same shape as 'data'.
data value are replaced where invalid is True
If None (default), use: invalid = np.isnan(data)
Output:
Return a filled array.
"""
@ -97,7 +97,7 @@ def resampleOffset(maskedFiltOffset, geometryOffset, outName):
###Currently making the assumption that top left of dense offsets and interfeorgrams are the same.
###This is not true for now. We need to update DenseOffsets to have the ability to have same top left
###As the input images. Once that is implemente, the math here should all be consistent.
###However, this is not too far off since the skip for doing dense offsets is generally large.
###However, this is not too far off since the skip for doing dense offsets is generally large.
###The offset is not too large to worry about right now. If the skip is decreased, this could be an issue.
print('oversampling the filtered and masked offsets to the width and length:', width, ' ', length )
@ -125,7 +125,7 @@ def resampleOffset(maskedFiltOffset, geometryOffset, outName):
for ll in range(length):
val = geomoff.bands[0][ll,:] + osoff.bands[0][ll,:]
val.tofile(fid)
fid.close()
img = isceobj.createImage()
@ -138,13 +138,13 @@ def resampleOffset(maskedFiltOffset, geometryOffset, outName):
img.scheme = 'BIP'
img.renderHdr()
return None
def runRubbersheet(self):
if not self.doRubbersheeting:
if not self.doRubbersheetingAzimuth:
print('Rubber sheeting not requested ... skipping')
return
@ -168,11 +168,9 @@ def runRubbersheet(self):
sheetOffset = os.path.join(offsetsDir, self.insar.azimuthRubbersheetFilename)
# oversampling the filtAzOffsetFile to the same size of geometryAzimuthOffset
# and then update the geometryAzimuthOffset by adding the oversampled
# and then update the geometryAzimuthOffset by adding the oversampled
# filtAzOffsetFile to it.
resampleOffset(filtAzOffsetFile, geometryAzimuthOffset, sheetOffset)
print("I'm here")
return None

54
components/isceobj/StripmapProc/runRubbersheetAzimuth.py
View File

@ -22,39 +22,39 @@ def mask_filterNoSNR(denseOffsetFile,filterSize,outName):
off_az = ds.GetRasterBand(1).ReadAsArray()
off_rg = ds.GetRasterBand(2).ReadAsArray()
ds = None
# Remove missing values from ampcor
# Remove missing values from ampcor
off_rg[np.where(off_rg < -9999)]=0
off_az[np.where(off_az < -9999)]=0
# Store the offsets in a complex variable
off = off_rg + 1j*off_az
# Mask the azimuth offsets based on the MAD
mask = off_masking(off,filterSize,thre=3)
mask = off_masking(off,filterSize,thre=3)
xoff_masked = np.ma.array(off.real,mask=mask)
yoff_masked = np.ma.array(off.imag,mask=mask)
# Delete unused variables
mask = None
off = None
# Remove residual noisy spots with a median filter on the azimuth offmap
yoff_masked.mask = yoff_masked.mask | \
(ndimage.median_filter(xoff_masked.filled(fill_value=0),3) == 0) | \
(ndimage.median_filter(yoff_masked.filled(fill_value=0),3) == 0)
# Fill the data by iteratively using smoothed values
# Fill the data by iteratively using smoothed values
data = yoff_masked.data
data[yoff_masked.mask]=np.nan
off_az_filled = fill_with_smoothed(data,filterSize)
# Apply median filter to smooth the azimuth offset map
off_az_filled = ndimage.median_filter(off_az_filled,filterSize)
# Save the filtered offsets
length, width = off_az_filled.shape
@ -74,8 +74,8 @@ def mask_filterNoSNR(denseOffsetFile,filterSize,outName):
img.scheme = 'BIP'
img.renderHdr()
return
return
def off_masking(off,filterSize,thre=2):
@ -94,16 +94,18 @@ def fill(data, invalid=None):
"""
Replace the value of invalid 'data' cells (indicated by 'invalid')
by the value of the nearest valid data cell
Input:
data: numpy array of any dimension
invalid: a binary array of same shape as 'data'.
data value are replaced where invalid is True
If None (default), use: invalid = np.isnan(data)
Output:
Return a filled array.
"""
from scipy import ndimage
if invalid is None: invalid = np.isnan(data)
ind = ndimage.distance_transform_edt(invalid,
@ -166,7 +168,7 @@ def fill_with_smoothed(off,filterSize):
kernel = np.ones((filterSize,filterSize),np.float32)/(filterSize*filterSize)
loop = 0
cnt2=1
while (cnt2!=0 & loop<100):
loop += 1
idx2= np.isnan(off_2filt)
@ -178,9 +180,9 @@ def fill_with_smoothed(off,filterSize):
idx3 = np.where(off_filt == 0)
off_2filt[idx3]=np.nan
off_filt=None
return off_2filt
def resampleOffset(maskedFiltOffset, geometryOffset, outName):
'''
Oversample offset and add.
@ -198,7 +200,7 @@ def resampleOffset(maskedFiltOffset, geometryOffset, outName):
###Currently making the assumption that top left of dense offsets and interfeorgrams are the same.
###This is not true for now. We need to update DenseOffsets to have the ability to have same top left
###As the input images. Once that is implemente, the math here should all be consistent.
###However, this is not too far off since the skip for doing dense offsets is generally large.
###However, this is not too far off since the skip for doing dense offsets is generally large.
###The offset is not too large to worry about right now. If the skip is decreased, this could be an issue.
print('oversampling the filtered and masked offsets to the width and length:', width, ' ', length )
@ -226,7 +228,7 @@ def resampleOffset(maskedFiltOffset, geometryOffset, outName):
for ll in range(length):
val = geomoff.bands[0][ll,:] + osoff.bands[0][ll,:]
val.tofile(fid)
fid.close()
img = isceobj.createImage()
@ -239,7 +241,7 @@ def resampleOffset(maskedFiltOffset, geometryOffset, outName):
img.scheme = 'BIP'
img.renderHdr()
return None
@ -264,7 +266,7 @@ def runRubbersheetAzimuth(self):
if not self.doRubbersheetingRange:
print('Rubber sheeting in range is off, filtering the offsets with a SNR-based mask')
mask_filter(denseOffsetFile, snrFile, band[0], snrThreshold, filterSize, filtAzOffsetFile)
else:
else:
print('Rubber sheeting in range is on, filtering the offsets with data-based mask')
mask_filterNoSNR(denseOffsetFile, filterSize, filtAzOffsetFile)
@ -274,10 +276,8 @@ def runRubbersheetAzimuth(self):
sheetOffset = os.path.join(offsetsDir, self.insar.azimuthRubbersheetFilename)
# oversampling the filtAzOffsetFile to the same size of geometryAzimuthOffset
# and then update the geometryAzimuthOffset by adding the oversampled
# and then update the geometryAzimuthOffset by adding the oversampled
# filtAzOffsetFile to it.
resampleOffset(filtAzOffsetFile, geometryAzimuthOffset, sheetOffset)
return None