#!/usr/bin/env python3 #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # Copyright 2012 California Institute of Technology. ALL RIGHTS RESERVED. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # United States Government Sponsorship acknowledged. This software is subject to # U.S. export control laws and regulations and has been classified as 'EAR99 NLR' # (No [Export] License Required except when exporting to an embargoed country, # end user, or in support of a prohibited end use). By downloading this software, # the user agrees to comply with all applicable U.S. export laws and regulations. # The user has the responsibility to obtain export licenses, or other export # authority as may be required before exporting this software to any 'EAR99' # embargoed foreign country or citizen of those countries. # # Author: Giangi Sacco #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ import numpy as np import isce from isceobj import createImage import os def runMaskImages(self): if self.insar.applyWaterMask: corrName = self.insar.coherenceFilename wrapName = self.insar.topophaseFlatFilename maskName = self.insar.waterMaskImageName ampName = self.insar.resampOnlyAmpName prefix = self.insar.unmaskedPrefix newCorrName = prefix + '_' + corrName newWrapName = prefix + '_' + wrapName newAmpName = prefix + '_' + ampName os.system('cp -r ' + corrName + ' ' + newCorrName) os.system('cp -r ' + wrapName + ' ' + newWrapName) os.system('cp -r ' + ampName + ' ' + newAmpName) corrImage = createImage() corrImage.load(corrName+'.xml') corrmap = np.memmap(corrName,corrImage.toNumpyDataType(),'r+', shape=(corrImage.bands*corrImage.coord2.coordSize,corrImage.coord1.coordSize)) wrapImage = createImage() wrapImage.load(wrapName+'.xml') wrapmap = np.memmap(wrapName,wrapImage.toNumpyDataType(),'r+', shape=(wrapImage.coord2.coordSize,wrapImage.coord1.coordSize)) maskImage = createImage() maskImage.load(maskName+'.xml') maskmap = np.memmap(maskName,maskImage.toNumpyDataType(),'r', shape=(maskImage.coord2.coordSize,maskImage.coord1.coordSize)) ampImage = createImage() ampImage.load(ampName+'.xml') ampmap = np.memmap(ampName,ampImage.toNumpyDataType(),'r+', shape=(ampImage.coord2.coordSize,ampImage.bands*ampImage.coord1.coordSize)) #NOTE:thre is a bug in the calculation of lat.rd and lon.rdr so the two have one more line #then the corr and wrap images. Add some logic to remove potential extra line lastLine = min(wrapmap.shape[0],maskmap.shape[0]) #corr file is a 2 bands BIL scheme so multiply each band corrmap[:corrImage.bands*lastLine:2,:] = corrmap[:corrImage.bands*lastLine:2,:]*maskmap[:lastLine,:] corrmap[1:corrImage.bands*lastLine:2,:] = corrmap[1:corrImage.bands*lastLine:2,:]*maskmap[:lastLine,:] wrapmap[:lastLine,:] = wrapmap[:lastLine,:]*maskmap[:lastLine,:] ampmap[0:lastLine,::2] = ampmap[0:lastLine,::2]*maskmap[:lastLine,:] ampmap[0:lastLine,1::2] = ampmap[0:lastLine,1::2]*maskmap[:lastLine,:] #change the filename in the metadata and then save the xml file for the unmasked images corrImage.filename = newCorrName corrImage.dump(newCorrName+'.xml') wrapImage.filename = newWrapName wrapImage.dump(newWrapName+'.xml') ampImage.filename = newAmpName ampImage.dump(newAmpName+'.xml')