152 lines
5.4 KiB
Python
Executable File
152 lines
5.4 KiB
Python
Executable File
#!/usr/bin/env python3
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#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# Copyright 2015 California Institute of Technology. ALL RIGHTS RESERVED.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# United States Government Sponsorship acknowledged. This software is subject to
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# U.S. export control laws and regulations and has been classified as 'EAR99 NLR'
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# (No [Export] License Required except when exporting to an embargoed country,
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# end user, or in support of a prohibited end use). By downloading this software,
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# the user agrees to comply with all applicable U.S. export laws and regulations.
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# The user has the responsibility to obtain export licenses, or other export
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# authority as may be required before exporting this software to any 'EAR99'
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# embargoed foreign country or citizen of those countries.
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#
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# Author: Piyush Agram
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#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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###These are demonstration scripts for the UNAVCO InSAR processing workshop.
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###These scripts will not be maintained over the long term and should not
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###be mistaken for official Applications within ISCE.
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###These scripts are meant to demo the use of ISCE as a modular library
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import argparse
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import isce
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import isceobj
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import numpy as np
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import shelve
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import os
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import datetime
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from isceobj.Constants import SPEED_OF_LIGHT
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def cmdLineParse():
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'''
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Command line parser.
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'''
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parser = argparse.ArgumentParser( description='Create DEM simulation for merged images')
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parser.add_argument('-a','--alks', dest='alks', type=int, default=1,
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help = 'Number of azimuth looks')
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parser.add_argument('-r','--rlks', dest='rlks', type=int, default=1,
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help = 'Number of range looks')
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parser.add_argument('-d', '--dem', dest='dem', type=str, required=True,
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help = 'Input DEM to use')
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parser.add_argument('-m', '--reference', dest='reference', type=str, required=True,
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help = 'Dir with reference frame')
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parser.add_argument('-b', '--bbox', dest='bbox', type=float, nargs=4, required=True,
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help='SNWE bounding box')
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parser.add_argument('-i', '--input', dest='infile', type=str, required=True,
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help='Input file to be geocoded')
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parser.add_argument('-t', '--type', dest='method', type=str, default='nearest',
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help='Interpolation method to use')
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parser.add_argument('-n', '--nativedop', dest='nativedop', action='store_true',
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default=False)
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return parser.parse_args()
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def runGeo(frame, demImage, inImage,
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looks=(1,1), doppler=None,nativedop=False,
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bbox=None, method='nearest'):
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from zerodop.geozero import createGeozero
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from isceobj.Planet.Planet import Planet
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#####Run Topo
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planet = Planet(pname='Earth')
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topo = createGeozero()
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topo.configure()
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alooks = looks[0]
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rlooks = looks[1]
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tStart = frame.sensingStart
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topo.slantRangePixelSpacing = frame.getInstrument().getRangePixelSize()
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topo.prf = frame.getInstrument().getPulseRepetitionFrequency()
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topo.radarWavelength = frame.getInstrument().getRadarWavelength()
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topo.orbit = frame.orbit
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topo.width = inImage.getWidth()
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topo.length = inImage.getLength()
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topo.wireInputPort(name='dem', object=demImage)
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topo.wireInputPort(name='planet', object=planet)
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topo.wireInputPort(name='tobegeocoded', object=inImage)
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topo.numberRangeLooks = rlooks
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topo.numberAzimuthLooks = alooks
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topo.lookSide = frame.instrument.platform.pointingDirection()
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topo.setSensingStart(tStart)
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topo.rangeFirstSample = frame.startingRange
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topo.method=method
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topo.demCropFilename = 'crop.dem'
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topo.geoFilename = inImage.filename + '.geo'
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if inps.nativedop and (doppler is not None):
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try:
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topo.dopplerCentroidCoeffs = [x/topo.prf for x in doppler._coeffs]
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except:
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topo.dopplerCentroidCoeffs = [x/topo.prf for x in doppler]
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else:
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topo.dopplerCentroidCoeffs = [0.]
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topo.snwe = bbox
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topo.geocode()
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print('South: ', topo.minimumGeoLatitude)
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print('North: ', topo.maximumGeoLatitude)
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print('West: ', topo.minimumGeoLongitude)
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print('East: ', topo.maximumGeoLongitude)
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return
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if __name__ == '__main__':
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#####Parse command line
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inps = cmdLineParse()
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#####Load reference metadata
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db = shelve.open( os.path.join(inps.reference, 'data'), flag='r')
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frame = db['frame']
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try:
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dop = db['doppler']
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except:
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dop = frame._dopplerVsPixel
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db.close()
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####Setup dem
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demImage = isceobj.createDemImage()
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demImage.load(inps.dem + '.xml')
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demImage.setAccessMode('read')
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####Setup input file
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inImage = isceobj.createImage()
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inImage.load(inps.infile + '.xml')
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inImage.setAccessMode('read')
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####Geocode the image
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runGeo(frame,demImage,inImage, nativedop=inps.nativedop,
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looks=(inps.alks, inps.rlks), doppler=dop,
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bbox=inps.bbox, method=inps.method)
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