92 lines
3.3 KiB
Python
92 lines
3.3 KiB
Python
#
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# Author: Joshua Cohen
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# Copyright 2016
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#
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import os
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import isceobj
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import logging
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import numpy as np
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from imageMath import IML
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def runCropOffsetGeo(self):
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'''
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Crops and resamples lat/lon/los/z images created by topsApp to the
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same grid as the offset field image.
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'''
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print('\n====================================')
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print('Cropping topo products to offset grid...')
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print('====================================')
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suffix = '.full'
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if (self.numberRangeLooks == 1) and (self.numberAzimuthLooks == 1):
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suffix=''
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flist1b = ['lat.rdr'+suffix, 'lon.rdr'+suffix, 'z.rdr'+suffix]
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flist2b = [self._insar.mergedLosName+suffix]
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wend = (self.offset_width*self.skipwidth) + self.offset_left
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lend = (self.offset_length*self.skiphgt) + self.offset_top
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for filename in flist1b:
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print('\nCropping %s to %s ...\n' % (filename,filename+'.crop'))
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f = os.path.join(self._insar.mergedDirname, filename)
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outArr = []
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mmap = IML.mmapFromISCE(f,logging)
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'''
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for i in range(self.offset_top, mmap.length, self.skiphgt):
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outArr.append(mmap.bands[0][i][self.offset_left::self.skipwidth])
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'''
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for i in range(self.offset_top, lend, self.skiphgt):
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outArr.append(mmap.bands[0][i][self.offset_left:wend:self.skipwidth])
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outFile = os.path.join(self._insar.mergedDirname, filename+'.crop')
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outImg = isceobj.createImage()
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outImg.bands = 1
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outImg.scheme = 'BIP'
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outImg.dataType = 'DOUBLE'
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outImg.setWidth(len(outArr[0]))
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outImg.setLength(len(outArr))
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outImg.setFilename(outFile)
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with open(outFile,'wb') as fid:
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for i in range(len(outArr)):
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np.array(outArr[i]).astype(np.double).tofile(fid) ### WAY easier to write to file like this
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outImg.renderHdr()
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print('Cropped %s' % (filename))
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for filename in flist2b:
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print('\nCropping %s to %s ...\n' % (filename,filename+'.crop'))
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f = os.path.join(self._insar.mergedDirname, filename)
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outArrCh1 = []
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outArrCh2 = []
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mmap = IML.mmapFromISCE(f,logging)
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'''
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for i in range(self.offset_top, mmap.length, self.skiphgt):
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outArrCh1.append(mmap.bands[0][i][self.offset_left::self.skipwidth])
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outArrCh2.append(mmap.bands[1][i][self.offset_left::self.skipwidth])
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'''
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for i in range(self.offset_top, lend, self.skiphgt):
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outArrCh1.append(mmap.bands[0][i][self.offset_left:wend:self.skipwidth])
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outArrCh2.append(mmap.bands[1][i][self.offset_left:wend:self.skipwidth])
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outFile = os.path.join(self._insar.mergedDirname, filename+'.crop')
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outImg = isceobj.createImage()
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outImg.bands = 2
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outImg.scheme = 'BIL'
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outImg.dataType = 'FLOAT'
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outImg.setWidth(len(outArrCh1[0]))
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outImg.setLength(len(outArrCh1))
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outImg.setFilename(outFile)
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with open(outFile,'wb') as fid:
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for i in range(len(outArrCh1)):
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np.array(outArrCh1[i]).astype(np.float32).tofile(fid)
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np.array(outArrCh2[i]).astype(np.float32).tofile(fid)
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outImg.renderHdr()
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print('Cropped %s' % (filename))
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if __name__ == "__main__":
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'''
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Default run method for runCropOffsetGeo.
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'''
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main()
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