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#!/usr/bin/env python3
# Author: Cunren Liang
# Copyright 2021
import os
import copy
import shutil
import argparse
import numpy as np
import isce
import isceobj
from isceobj.TopsProc.runMergeBursts import mergeBox
from isceobj.TopsProc.runMergeBursts import adjustValidWithLooks
from isceobj.TopsProc.runIon import cal_cross_ab_ramp
from Stack import ionParam
import s1a_isce_utils as ut
from mergeBurstsIon import updateValid
def createParser():
parser = argparse.ArgumentParser(description='merge swath ionosphere')
parser.add_argument('-c', '--reference', type=str, dest='reference', required=True,
help='directory with the reference image')
parser.add_argument('-s', '--stack', type=str, dest='stack', default = None,
help='directory with the stack xml files which includes the common valid region of the stack')
parser.add_argument('-i', '--input', dest='input', type=str, required=True,
help='directory with input swath ionosphere containing swath directories ion_cal_IW*')
parser.add_argument('-o', '--output', dest='output', type=str, required=True,
help='directory with output merged ionosphere')
parser.add_argument('-r', '--nrlks', type=int, dest='nrlks', default=1,
help = 'number of range looks. NOT number of range looks 0')
parser.add_argument('-a', '--nalks', type=int, dest='nalks', default=1,
help = 'number of azimuth looks. NOT number of azimuth looks 0')
parser.add_argument('-m', '--remove_ramp', type=int, dest='remove_ramp', default=0,
help = 'remove an empirical ramp as a result of different platforms. 0: no removal (default), 1: S1A-S1B, -1: S1B-S1A')
return parser
def cmdLineParse(iargs = None):
parser = createParser()
return parser.parse_args(args=iargs)
def main(iargs=None):
'''
'''
inps = cmdLineParse(iargs)
corThresholdSwathAdj = 0.85
numberRangeLooks = inps.nrlks
numberAzimuthLooks = inps.nalks
remove_ramp = inps.remove_ramp
ionParamObj=ionParam()
ionParamObj.configure()
#####################################################################
framesBox=[]
swathList = sorted(ut.getSwathList(inps.reference))
for swath in swathList:
frame = ut.loadProduct(os.path.join(inps.reference, 'IW{0}.xml'.format(swath)))
minBurst = frame.bursts[0].burstNumber
maxBurst = frame.bursts[-1].burstNumber
if minBurst==maxBurst:
print('Skipping processing of swath {0}'.format(swath))
continue
passDirection = frame.bursts[0].passDirection.lower()
if inps.stack is not None:
print('Updating the valid region of each burst to the common valid region of the stack')
frame_stack = ut.loadProduct(os.path.join(inps.stack, 'IW{0}.xml'.format(swath)))
updateValid(frame, frame_stack)
framesBox.append(frame)
box = mergeBox(framesBox)
#adjust valid with looks, 'frames' ARE CHANGED AFTER RUNNING THIS
#here numberRangeLooks, instead of numberRangeLooks0, is used, since we need to do next step multilooking after unwrapping. same for numberAzimuthLooks.
(burstValidBox, burstValidBox2, message) = adjustValidWithLooks(framesBox, box, numberAzimuthLooks, numberRangeLooks, edge=0, avalid='strict', rvalid='strict')
#1. we use adjustValidWithLooks() to compute burstValidBox for extracting burst bounding boxes, use each burst's bounding box to retrive
#the corresponding burst in merged swath image and then put the burst in the final merged image.
#so there is no need to use interferogram IW*.xml, reference IW*.xml is good enough. If there is no corresponding burst in interferogram
#IW*.xml, the burst in merged swath image is just zero, and we can put this zero burst in the final merged image.
#2. we use mergeBox() to compute box[1] to be used in cal_cross_ab_ramp()
#####################################################################
numValidSwaths = len(swathList)
if numValidSwaths == 1:
print('there is only one valid swath, simply copy the files')
os.makedirs(inps.output, exist_ok=True)
corName = os.path.join(inps.input, 'ion_cal_IW{}'.format(swathList[0]), 'raw_no_projection.cor')
ionName = os.path.join(inps.input, 'ion_cal_IW{}'.format(swathList[0]), 'raw_no_projection.ion')
corOutName = os.path.join(inps.output, 'raw_no_projection.cor')
ionOutName = os.path.join(inps.output, 'raw_no_projection.ion')
shutil.copy2(corName, corOutName)
shutil.copy2(ionName, ionOutName)
#os.symlink(os.path.abspath(corName), os.path.abspath(corOutName))
#os.symlink(os.path.abspath(ionName), os.path.abspath(ionOutName))
img = isceobj.createImage()
img.load(corName + '.xml')
img.setFilename(corOutName)
img.extraFilename = corOutName+'.vrt'
img.renderHdr()
img = isceobj.createImage()
img.load(ionName + '.xml')
img.setFilename(ionOutName)
img.extraFilename = ionOutName+'.vrt'
img.renderHdr()
return
print('merging swaths')
corList = []
ampList = []
ionosList = []
for swath in swathList:
corName = os.path.join(inps.input, 'ion_cal_IW{}'.format(swath), 'raw_no_projection.cor')
ionName = os.path.join(inps.input, 'ion_cal_IW{}'.format(swath), 'raw_no_projection.ion')
img = isceobj.createImage()
img.load(ionName + '.xml')
width = img.width
length = img.length
amp = (np.fromfile(corName, dtype=np.float32).reshape(length*2, width))[0:length*2:2, :]
cor = (np.fromfile(corName, dtype=np.float32).reshape(length*2, width))[1:length*2:2, :]
ion = (np.fromfile(ionName, dtype=np.float32).reshape(length*2, width))[1:length*2:2, :]
corList.append(cor)
ampList.append(amp)
ionosList.append(ion)
#do adjustment between ajacent swaths
if numValidSwaths == 3:
adjustList = [ionosList[0], ionosList[2]]
else:
adjustList = [ionosList[0]]
for adjdata in adjustList:
index = np.nonzero((adjdata!=0) * (ionosList[1]!=0) * (corList[1] > corThresholdSwathAdj))
if index[0].size < 5:
print('WARNING: too few samples available for adjustment between swaths: {} with coherence threshold: {}'.format(index[0].size, corThresholdSwathAdj))
print(' no adjustment made')
print(' to do ajustment, please consider using lower coherence threshold')
else:
print('number of samples available for adjustment in the overlap area: {}'.format(index[0].size))
#diff = np.mean((ionosList[1] - adjdata)[index], dtype=np.float64)
#use weighted mean instead
wgt = corList[1][index]**14
diff = np.sum((ionosList[1] - adjdata)[index] * wgt / np.sum(wgt, dtype=np.float64), dtype=np.float64)
index2 = np.nonzero(adjdata!=0)
adjdata[index2] = adjdata[index2] + diff
#get merged ionosphere
ampMerged = np.zeros((length, width), dtype=np.float32)
corMerged = np.zeros((length, width), dtype=np.float32)
ionosMerged = np.zeros((length, width), dtype=np.float32)
for i in range(numValidSwaths):
nBurst = len(burstValidBox[i])
for j in range(nBurst):
#index after multi-looking in merged image, index starts from 1
first_line = int(np.around((burstValidBox[i][j][0] - 1) / numberAzimuthLooks + 1))
last_line = int(np.around(burstValidBox[i][j][1] / numberAzimuthLooks))
first_sample = int(np.around((burstValidBox[i][j][2] - 1) / numberRangeLooks + 1))
last_sample = int(np.around(burstValidBox[i][j][3] / numberRangeLooks))
corMerged[first_line-1:last_line-1+1, first_sample-1:last_sample-1+1] = \
corList[i][first_line-1:last_line-1+1, first_sample-1:last_sample-1+1]
ampMerged[first_line-1:last_line-1+1, first_sample-1:last_sample-1+1] = \
ampList[i][first_line-1:last_line-1+1, first_sample-1:last_sample-1+1]
ionosMerged[first_line-1:last_line-1+1, first_sample-1:last_sample-1+1] = \
ionosList[i][first_line-1:last_line-1+1, first_sample-1:last_sample-1+1]
#remove an empirical ramp
if remove_ramp != 0:
#warningInfo = '{} calculating ionosphere for cross S-1A/B interferogram, an empirical ramp is removed from estimated ionosphere\n'.format(datetime.datetime.now())
#with open(os.path.join(ionParam.ionDirname, ionParam.warning), 'a') as f:
# f.write(warningInfo)
abramp = cal_cross_ab_ramp(swathList, box[1], numberRangeLooks, passDirection)
if remove_ramp == -1:
abramp *= -1.0
#currently do not apply this
#ionosMerged -= abramp[None, :]
#dump ionosphere
os.makedirs(inps.output, exist_ok=True)
outFilename = os.path.join(inps.output, ionParamObj.ionRawNoProj)
ion = np.zeros((length*2, width), dtype=np.float32)
ion[0:length*2:2, :] = ampMerged
ion[1:length*2:2, :] = ionosMerged
ion.astype(np.float32).tofile(outFilename)
img.filename = outFilename
img.extraFilename = outFilename + '.vrt'
img.renderHdr()
#dump coherence
outFilename = os.path.join(inps.output, ionParamObj.ionCorNoProj)
ion[1:length*2:2, :] = corMerged
ion.astype(np.float32).tofile(outFilename)
img.filename = outFilename
img.extraFilename = outFilename + '.vrt'
img.renderHdr()
if __name__ == '__main__':
'''
Main driver.
'''
# Main Driver
main()