#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # Copyright 2010 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: Piyush Agram #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ import datetime import isceobj from isceobj.Orbit.Orbit import StateVector from isceobj.Planet.AstronomicalHandbook import Const from isceobj.Planet.Planet import Planet from isceobj.Scene.Frame import Frame from iscesys.DateTimeUtil.DateTimeUtil import DateTimeUtil as DTUtil from isceobj.Sensor import tkfunc,createAuxFile from iscesys.Component.Component import Component from isceobj.Sensor.Sensor import Sensor def read_rsc(inname): ''' Read RSC file contents into a dict. ''' rpacdict = {} try: infile = open(inname+'.rsc', mode='r') except: raise Exception('File : {0} cannot be opened for reading.'.format(inname+'.rsc')) line = infile.readline() while line: llist = line.strip().split() if len(llist)==2 : rpacdict[llist[0]] = llist[1] line = infile.readline() infile.close() return rpacdict class ROI_PAC(Sensor): """ A class to parse ROI_PAC raw metadata """ logging_name = "isce.sensor.ROI_PAC" def __init__(self): super(ROI_PAC,self).__init__() self._rawFile = None self._hdrFile = None self.dopplerVsRangePixel = [] self.constants = {} self.dictionaryOfVariables = { 'RAWFILE': ['rawFile','str','mandatory'], 'HDRFILE': ['hdrFile','str','mandatory'] } return None def getRawFile(self): return self._rawFile def getHdrFile(self): return self._hdrFile def setRawFile(self, fname): self._rawFile = str(fname) pass def setHdrFile(self, fname): self._hdrFile = str(fname) pass def getFrame(self): return self.frame def parse(self): metaDict = read_rsc(self.rawFile) self.constants.update(metaDict) self.populateMetadata() def _populatePlatform(self): mdict = self.constants platform = self.frame.getInstrument().getPlatform() platform.setMission(mdict['PLATFORM']) platform.setPlanet(Planet(pname="Earth")) platform.setPointingDirection(int(mdict['ANTENNA_SIDE'])) platform.setAntennaLength(float(mdict['ANTENNA_LENGTH'])) def _populateInstrument(self, mdict=None): if mdict is None: mdict = self.constants instrument = self.frame.getInstrument() fs = float(mdict['RANGE_SAMPLING_FREQUENCY']) rangePixelSize = Const.c/(2*fs) instrument.setRadarWavelength(float(mdict['WAVELENGTH'])) instrument.setPulseRepetitionFrequency(float(mdict['PRF'])) instrument.setRangePixelSize(rangePixelSize) instrument.setPulseLength(float(mdict['PULSE_LENGTH'])) instrument.setChirpSlope(float(mdict['CHIRP_SLOPE'])) instrument.setRangeSamplingRate(fs) instrument.setInPhaseValue(float(mdict['I_BIAS'])) instrument.setQuadratureValue(float(mdict['Q_BIAS'])) def _populateFrame(self, mdict=None): if mdict is None: mdict = self.constants startRange = float(mdict['STARTING_RANGE']) try: rangeBias = float(mdict['RANGE_BIAS']) except KeyError: rangeBias = 0.0 #####Adjust for range gate bias if any startRange = startRange - rangeBias ####Compute the UTC times acqDate = mdict['FIRST_LINE_YEAR'] + '-' + mdict['FIRST_LINE_MONTH_OF_YEAR'] + '-' + mdict['FIRST_LINE_DAY_OF_MONTH'] date0 = datetime.datetime.strptime(acqDate,'%Y-%m-%d') sensingStart = date0 + datetime.timedelta(seconds=float(mdict['FIRST_LINE_UTC'])) sensingMid = date0 + datetime.timedelta(seconds=float(mdict['CENTER_LINE_UTC'])) sensingStop = date0 + datetime.timedelta(seconds=float(mdict['LAST_LINE_UTC'])) self.frame.setStartingRange(startRange) self.frame.setPassDirection(mdict['ORBIT_DIRECTION'].upper()) self.frame.setOrbitNumber(mdict['ORBIT_NUMBER']) try: self.frame.setProcessingFacility(mdict['PROCESSING_FACILITY']) except: self.frame.setProcessingFacility('Dummy') try: self.frame.setProcessingSoftwareVersion(mdict['PROCESSING_SYSTEM']) except: self.frame.setProcessingSoftwareVersion('Dummy') try: self.frame.setPolarization(mdict['POLARIZATION']) except: self.frame.setPolarization('HH') self.frame.setNumberOfLines(int(mdict['FILE_LENGTH'])) ####Account for correct width and first byte here self.frame.setNumberOfSamples(int(mdict['WIDTH'])/2) self.frame.setSensingStart(sensingStart) self.frame.setSensingMid(sensingMid) self.frame.setSensingStop(sensingStop) rangePixelSize = self.frame.getInstrument().getRangePixelSize() farRange = startRange + self.frame.getNumberOfSamples()*rangePixelSize self.frame.setFarRange(farRange) def _populateOrbit(self, mdict=None): orbit = self.frame.getOrbit() orbit.setReferenceFrame('ECR') orbit.setOrbitSource('Header') refDate = self.frame.getSensingStart().date() t0 = datetime.datetime(refDate.year, refDate.month, refDate.day) lines = [line.strip() for line in open(self.hdrFile,'r')] for line in lines: vec = StateVector() if len(line.split()) == 7: fields =[float(val) for val in line.split()] dt = t0 + datetime.timedelta(seconds=fields[0]) vec.setTime(dt) vec.setPosition(fields[1:4]) vec.setVelocity(fields[4:7]) orbit.addStateVector(vec) def populateImage(self): mdict = self.constants rawImage = isceobj.createRawImage() rawImage.setByteOrder('l') rawImage.setFilename(self.rawFile) rawImage.setAccessMode('read') rawImage.setWidth(2*self.frame.getNumberOfSamples()) rawImage.setXmax(2*self.frame.getNumberOfSamples()) rawImage.setXmin(int(mdict['XMIN'])) self.getFrame().setImage(rawImage) def _populateExtras(self): """ Populate some extra fields. """ mdict = self.constants self.dopplerVsRangePixel = [ float(mdict['DOPPLER_RANGE0']), float(mdict['DOPPLER_RANGE1']), float(mdict['DOPPLER_RANGE2']), float(mdict['DOPPLER_RANGE3']) ] def extractImage(self): """Extract the raw image data""" self.parse() self._populateExtras() self.populateImage() createAuxFile(self.frame,self.rawFile + '.aux') def extractDoppler(self): """ Return the doppler centroid as defined in the HDF5 file. """ quadratic = {} dopp = self.dopplerVsRangePixel mid = 0.5*(int(self.constants['WIDTH']) - int(self.constants['XMIN'])) fd_mid = dopp[0] + (dopp[1] + (dopp[2] + dopp[3]*mid)*mid)*mid quadratic['a'] = dopp[0] quadratic['b'] = dopp[1] quadratic['c'] = dopp[2] return quadratic rawFile = property(getRawFile, setRawFile) hdrFile = property(getHdrFile, setHdrFile)