410 lines
15 KiB
Python
410 lines
15 KiB
Python
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#!/usr/bin/env python3
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import numpy as np
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import argparse
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import os
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import isce
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import isceobj
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import copy
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import logging
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import scipy.signal as SS
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from isceobj.Util.ImageUtil import ImageLib as IML
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import s1a_isce_utils as ut
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def createParser():
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parser = argparse.ArgumentParser( description='Generate offset field between two Sentinel swaths')
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parser.add_argument('-i', '--interferogram', type=str, dest='interferogram',required=True,
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help='Directory with the overlap interferogram')
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parser.add_argument('-m', '--master_dir', type=str, dest='master', required=True,
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help='Directory with the slave image')
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parser.add_argument('-s', '--slave_dir', type=str, dest='slave', required=True,
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help='Directory with the slave image')
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parser.add_argument('-d', '--overlap_dir', type=str, dest='overlap', required=True,
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help='Directory with overlap products')
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parser.add_argument('-a', '--esdAzimuthLooks', type=int, dest='esdAzimuthLooks', default = 5,
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help='ESD azimuth looks')
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parser.add_argument('-r', '--esdRangeLooks', type=int, dest='esdRangeLooks', default = 15,
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help='ESD range looks')
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return parser
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def cmdLineParse(iargs=None):
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'''
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Command line parser.
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'''
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parser = createParser()
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return parser.parse_args(args=iargs)
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def multilook(intName, alks=5, rlks=15):
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cmd = 'looks.py -i {0} -a {1} -r {2}'.format(intName,alks,rlks)
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flag = os.system(cmd)
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if flag:
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raise Exception('Failed to multilook %s'%(intName))
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spl = os.path.splitext(intName)
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return '{0}.{1}alks_{2}rlks{3}'.format(spl[0],alks,rlks,spl[1])
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def overlapSpectralSeparation(topBurstIfg, botBurstIfg, masterTop, masterBot, slaveTop, slaveBot, azMasTop, rgMasTop, azMasBot, rgMasBot, azSlvTop, rgSlvTop, azSlvBot, rgSlvBot , misreg=0.0):
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# Added by Heresh Fattahi
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'''
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Estimate separation in frequency due to unit pixel misregistration.
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'''
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'''
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dt = topBurstIfg.azimuthTimeInterval
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topStart = int(np.round((topBurstIfg.sensingStart - masterTop.sensingStart).total_seconds() / dt))
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overlapLen = topBurstIfg.numberOfLines
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botStart = int(np.round((botBurstIfg.sensingStart - masterBot.sensingStart).total_seconds() / dt))
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print(topBurstIfg.sensingStart, masterTop.sensingStart)
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print(botBurstIfg.sensingStart, masterBot.sensingStart)
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print(topStart, botStart, overlapLen)
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'''
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print ('++++++++++++++++++++++')
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dt = topBurstIfg.azimuthTimeInterval
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topStart = int ( np.round( (masterBot.sensingStart - masterTop.sensingStart).total_seconds()/dt))+ masterBot.firstValidLine
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overlapLen = topBurstIfg.numberOfLines
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botStart = masterBot.firstValidLine
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print(topStart, botStart, overlapLen)
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#print(Debug)
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##############
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# master top : m1
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y = np.arange(topStart, topStart+overlapLen)[:,None] * np.ones((overlapLen, topBurstIfg.numberOfSamples))
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x = np.ones((overlapLen, topBurstIfg.numberOfSamples)) * np.arange(topBurstIfg.numberOfSamples)[None,:]
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if os.path.exists(azMasTop) and os.path.exists(rgMasTop):
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yy = np.memmap( azMasTop, dtype=np.float32, mode='r',
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shape=(topBurstIfg.numberOfLines, topBurstIfg.numberOfSamples))
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xx = np.memmap( rgMasTop, dtype=np.float32, mode='r',
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shape=(topBurstIfg.numberOfLines, topBurstIfg.numberOfSamples))
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else:
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yy = 0.0
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xx = 0.0
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azi = y + yy
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rng = x + xx
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Vs = np.linalg.norm(masterTop.orbit.interpolateOrbit(masterTop.sensingMid, method='hermite').getVelocity())
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Ks = 2 * Vs * masterTop.azimuthSteeringRate / masterTop.radarWavelength
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rng = masterTop.startingRange + masterTop.rangePixelSize * rng
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Ka = masterTop.azimuthFMRate(rng)
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Ktm1 = Ks / (1.0 - Ks / Ka)
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tm1 = (azi - (masterTop.numberOfLines//2)) * masterTop.azimuthTimeInterval
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fm1 = masterTop.doppler(rng)
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##############
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# master bottom : m2
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y = np.arange(botStart, botStart + overlapLen)[:,None] * np.ones((overlapLen, botBurstIfg.numberOfSamples))
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x = np.ones((overlapLen, botBurstIfg.numberOfSamples)) * np.arange(botBurstIfg.numberOfSamples)[None,:]
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if os.path.exists(azMasBot) and os.path.exists(rgMasBot):
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yy = np.memmap( azMasBot, dtype=np.float32, mode='r',
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shape=(botBurstIfg.numberOfLines, botBurstIfg.numberOfSamples))
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xx = np.memmap( rgMasBot, dtype=np.float32, mode='r',
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shape=(botBurstIfg.numberOfLines, botBurstIfg.numberOfSamples))
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else:
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yy = 0.0
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xx = 0.0
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azi = y + yy
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rng = x + xx
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Vs = np.linalg.norm(masterBot.orbit.interpolateOrbit(masterBot.sensingMid, method='hermite').getVelocity())
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Ks = 2 * Vs * masterBot.azimuthSteeringRate / masterBot.radarWavelength
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rng = masterBot.startingRange + masterBot.rangePixelSize * rng
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Ka = masterBot.azimuthFMRate(rng)
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Ktm2 = Ks / (1.0 - Ks / Ka)
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tm2 = (azi - (masterBot.numberOfLines//2)) * masterBot.azimuthTimeInterval
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fm2 = masterBot.doppler(rng)
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##############
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# slave top : s1
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y = np.arange(topStart, topStart+overlapLen)[:,None] * np.ones((overlapLen, topBurstIfg.numberOfSamples))
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x = np.ones((overlapLen, topBurstIfg.numberOfSamples)) * np.arange(topBurstIfg.numberOfSamples)[None,:]
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if os.path.exists(azSlvTop) and os.path.exists(rgSlvTop):
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yy = np.memmap( azSlvTop, dtype=np.float32, mode='r',
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shape=(topBurstIfg.numberOfLines, topBurstIfg.numberOfSamples))
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xx = np.memmap( rgSlvTop, dtype=np.float32, mode='r',
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shape=(topBurstIfg.numberOfLines, topBurstIfg.numberOfSamples))
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else:
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yy = 0.0
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xx = 0.0
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azi = y + yy + misreg
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rng = x + xx
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# print('Azi top: ', azi[0,0], azi[-1,-1])
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# print('YY top: ', yy[0,0], yy[-1,-1])
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# print('Rng top: ', rng[0,0], azi[-1,-1])
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# print('XX top: ', xx[0,0], xx[-1,-1])
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Vs = np.linalg.norm(slaveTop.orbit.interpolateOrbit(slaveTop.sensingMid, method='hermite').getVelocity())
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Ks = 2 * Vs * slaveTop.azimuthSteeringRate / slaveTop.radarWavelength
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rng = slaveTop.startingRange + slaveTop.rangePixelSize * rng
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Ka = slaveTop.azimuthFMRate(rng)
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Kts1 = Ks / (1.0 - Ks / Ka)
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ts1 = (azi - (slaveTop.numberOfLines//2)) * slaveTop.azimuthTimeInterval
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fs1 = slaveTop.doppler(rng)
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##############
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# slave bot : s2
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y = np.arange(botStart, botStart + overlapLen)[:,None] * np.ones((overlapLen, botBurstIfg.numberOfSamples))
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x = np.ones((overlapLen, botBurstIfg.numberOfSamples)) * np.arange(botBurstIfg.numberOfSamples)[None,:]
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####Bottom slave
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if os.path.exists(azSlvBot) and os.path.exists(rgSlvBot):
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yy = np.memmap( azSlvBot, dtype=np.float32, mode='r',
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shape=(botBurstIfg.numberOfLines, botBurstIfg.numberOfSamples))
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xx = np.memmap( rgSlvBot, dtype=np.float32, mode='r',
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shape=(botBurstIfg.numberOfLines, botBurstIfg.numberOfSamples))
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else:
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yy = 0.0
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xx = 0.0
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azi = y + yy + misreg
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rng = x + xx
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# print('Azi bot: ', azi[0,0], azi[-1,-1])
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# print('YY bot: ', yy[0,0], yy[-1,-1])
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# print('Rng bot: ', rng[0,0], azi[-1,-1])
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# print('XX bot: ', xx[0,0], xx[-1,-1])
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Vs = np.linalg.norm(slaveBot.orbit.interpolateOrbit(slaveBot.sensingMid, method='hermite').getVelocity())
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Ks = 2 * Vs * slaveBot.azimuthSteeringRate / slaveBot.radarWavelength
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rng = slaveBot.startingRange + slaveBot.rangePixelSize * rng
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Ka = slaveBot.azimuthFMRate(rng)
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Kts2 = Ks / (1.0 - Ks / Ka)
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ts2 = (azi - (slaveBot.numberOfLines//2)) * slaveBot.azimuthTimeInterval
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fs2 = slaveBot.doppler(rng)
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##############
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frequencySeparation = -Ktm2*tm2 + Ktm1*tm1 + Kts1*ts1 - Kts2*ts2 + fm2 - fm1 + fs1 -fs2
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#print(frequencySeparation)
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#print(tm2)
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#print(tm1)
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#print('*********')
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#print(ts1)
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#print(ts2)
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#print(Debug)
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return frequencySeparation
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def createCoherence(intfile, win=5):
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'''
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Compute coherence using scipy convolve 2D.
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'''
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corfile = os.path.splitext(intfile)[0] + '.cor'
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filt = np.ones((win,win))/ (1.0*win*win)
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inimg = IML.mmapFromISCE(intfile + '.xml', logging)
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cJ = np.complex64(1.0j)
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angle = np.exp(cJ * np.angle(inimg.bands[0]))
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res = SS.convolve2d(angle, filt, mode='same')
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res[0:win-1,:] = 0.0
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res[-win+1:,:] = 0.0
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res[:,0:win-1] = 0.0
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res[:,-win+1:] = 0.0
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res = np.abs(res)
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with open(corfile, 'wb') as f:
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res.astype(np.float32).tofile(f)
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img = isceobj.createImage()
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img.setFilename(corfile)
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img.setWidth(res.shape[1])
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img.dataType='FLOAT'
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img.setAccessMode('READ')
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img.renderHdr()
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img.renderVRT()
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# img.createImage()
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# img.finalizeImage()
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return corfile
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def main(iargs=None):
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'''
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Create additional layers for performing ESD.
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'''
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inps = cmdLineParse(iargs)
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inps.interferogram = os.path.join(inps.interferogram,'overlap')
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inps.master = os.path.join(inps.master,'overlap')
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inps.slave = os.path.join(inps.slave,'overlap')
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masterSwathList = ut.getSwathList(inps.master)
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slaveSwathList = ut.getSwathList(inps.slave)
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swathList = list(sorted(set(masterSwathList+slaveSwathList)))
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for swath in swathList:
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IWstr = 'IW{0}'.format(swath)
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masterTop = ut.loadProduct(os.path.join(inps.master, IWstr + '_top.xml'))
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masterBot = ut.loadProduct(os.path.join(inps.master , IWstr + '_bottom.xml'))
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slaveTop = ut.loadProduct(os.path.join(inps.slave, IWstr + '_top.xml'))
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slaveBot = ut.loadProduct(os.path.join(inps.slave, IWstr + '_bottom.xml'))
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####Load metadata for burst IFGs
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ifgTop = ut.loadProduct(os.path.join(inps.interferogram , IWstr + '_top.xml'))
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ifgBottom = ut.loadProduct(os.path.join(inps.interferogram, IWstr + '_bottom.xml'))
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####Create ESD output directory
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esddir = os.path.join(inps.overlap, IWstr)
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if not os.path.isdir(esddir):
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os.makedirs(esddir)
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####Overlap offsets directory
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masterOffdir = os.path.join(inps.master, IWstr)
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slaveOffdir = os.path.join(inps.slave,IWstr)
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#########
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minMaster = masterTop.bursts[0].burstNumber
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maxMaster = masterTop.bursts[-1].burstNumber
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minSlave = slaveTop.bursts[0].burstNumber
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maxSlave = slaveTop.bursts[-1].burstNumber
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minBurst = ifgTop.bursts[0].burstNumber
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maxBurst = ifgTop.bursts[-1].burstNumber
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print ('minSlave,maxSlave',minSlave, maxSlave)
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print ('minMaster,maxMaster',minMaster, maxMaster)
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print ('minBurst, maxBurst: ', minBurst, maxBurst)
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#########
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ifglist = []
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factorlist = []
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offsetlist = []
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cohlist = []
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for ii in range(minBurst, maxBurst + 1):
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ind = ii - minBurst ###Index into overlaps
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mind = ii - minMaster ### Index into master
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sind = ii - minSlave ###Index into slave
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topBurstIfg = ifgTop.bursts[ind]
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botBurstIfg = ifgBottom.bursts[ind]
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###############
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'''stackMasterTop = ifgTop.source.bursts[mind]
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stackMasterBot = ifgBottom.source.bursts[mind]
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dt = stackMasterTop.azimuthTimeInterval
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topStart = int(np.round((stackMasterBot.sensingStart - stackMasterTop.sensingStart).total_seconds() / dt))
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#overlapLen = .numberOfLines
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botStart = stackMasterBot.firstValidLine #int(np.round((.sensingStart - masterBot.sensingStart).total_seconds() / dt))
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print('+++++++++++++++++++')
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print(topStart, botStart)
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print('+++++++++++++++++++') '''
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###############
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####Double difference interferograms
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topInt = np.memmap( topBurstIfg.image.filename,
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dtype=np.complex64, mode='r',
|
||
|
|
shape = (topBurstIfg.numberOfLines, topBurstIfg.numberOfSamples))
|
||
|
|
|
||
|
|
botInt = np.memmap( botBurstIfg.image.filename,
|
||
|
|
dtype=np.complex64, mode='r',
|
||
|
|
shape = (botBurstIfg.numberOfLines, botBurstIfg.numberOfSamples))
|
||
|
|
|
||
|
|
intName = os.path.join(esddir, 'overlap_%02d.int'%(ii))
|
||
|
|
freqName = os.path.join(esddir, 'freq_%02d.bin'%(ii))
|
||
|
|
|
||
|
|
with open(intName, 'wb') as fid:
|
||
|
|
fid.write( topInt * np.conj(botInt))
|
||
|
|
|
||
|
|
img = isceobj.createIntImage()
|
||
|
|
img.setFilename(intName)
|
||
|
|
img.setWidth(topBurstIfg.numberOfSamples)
|
||
|
|
img.setLength(topBurstIfg.numberOfLines)
|
||
|
|
img.setAccessMode('READ')
|
||
|
|
img.renderHdr()
|
||
|
|
img.renderVRT()
|
||
|
|
img.createImage()
|
||
|
|
img.finalizeImage()
|
||
|
|
|
||
|
|
multIntName= multilook(intName, alks = inps.esdAzimuthLooks, rlks=inps.esdRangeLooks)
|
||
|
|
ifglist.append(multIntName)
|
||
|
|
|
||
|
|
|
||
|
|
####Estimate coherence of double different interferograms
|
||
|
|
multCor = createCoherence(multIntName)
|
||
|
|
cohlist.append(multCor)
|
||
|
|
|
||
|
|
####Estimate the frequency difference
|
||
|
|
azMasTop = os.path.join(masterOffdir, 'azimuth_top_%02d_%02d.off'%(ii,ii+1))
|
||
|
|
rgMasTop = os.path.join(masterOffdir, 'range_top_%02d_%02d.off'%(ii,ii+1))
|
||
|
|
azMasBot = os.path.join(masterOffdir, 'azimuth_bot_%02d_%02d.off'%(ii,ii+1))
|
||
|
|
rgMasBot = os.path.join(masterOffdir, 'range_bot_%02d_%02d.off'%(ii,ii+1))
|
||
|
|
|
||
|
|
azSlvTop = os.path.join(slaveOffdir, 'azimuth_top_%02d_%02d.off'%(ii,ii+1))
|
||
|
|
rgSlvTop = os.path.join(slaveOffdir, 'range_top_%02d_%02d.off'%(ii,ii+1))
|
||
|
|
azSlvBot = os.path.join(slaveOffdir, 'azimuth_bot_%02d_%02d.off'%(ii,ii+1))
|
||
|
|
rgSlvBot = os.path.join(slaveOffdir, 'range_bot_%02d_%02d.off'%(ii,ii+1))
|
||
|
|
|
||
|
|
mFullTop = masterTop.source.bursts[mind]
|
||
|
|
mFullBot = masterBot.source.bursts[mind+1]
|
||
|
|
sFullTop = slaveTop.source.bursts[sind]
|
||
|
|
sFullBot = slaveBot.source.bursts[sind+1]
|
||
|
|
|
||
|
|
freqdiff = overlapSpectralSeparation(topBurstIfg, botBurstIfg, mFullTop, mFullBot, sFullTop, sFullBot,
|
||
|
|
azMasTop, rgMasTop, azMasBot, rgMasBot, azSlvTop, rgSlvTop, azSlvBot, rgSlvBot)
|
||
|
|
|
||
|
|
with open(freqName, 'wb') as fid:
|
||
|
|
(freqdiff * 2 * np.pi * mFullTop.azimuthTimeInterval).astype(np.float32).tofile(fid)
|
||
|
|
|
||
|
|
img = isceobj.createImage()
|
||
|
|
img.setFilename(freqName)
|
||
|
|
img.setWidth(topBurstIfg.numberOfSamples)
|
||
|
|
img.setLength(topBurstIfg.numberOfLines)
|
||
|
|
img.setAccessMode('READ')
|
||
|
|
img.bands = 1
|
||
|
|
img.dataType = 'FLOAT'
|
||
|
|
# img.createImage()
|
||
|
|
img.renderHdr()
|
||
|
|
img.renderVRT()
|
||
|
|
img.createImage()
|
||
|
|
img.finalizeImage()
|
||
|
|
|
||
|
|
multConstName = multilook(freqName, alks = inps.esdAzimuthLooks, rlks = inps.esdRangeLooks)
|
||
|
|
factorlist.append(multConstName)
|
||
|
|
|
||
|
|
if __name__ == '__main__':
|
||
|
|
'''
|
||
|
|
Main driver.
|
||
|
|
'''
|
||
|
|
# Main Driver
|
||
|
|
main()
|
||
|
|
|
||
|
|
|
||
|
|
|