266 lines
10 KiB
Python
266 lines
10 KiB
Python
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#!/usr/bin/env python3
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#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# Copyright 2013 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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import datetime
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try:
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import h5py
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except ImportError:
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raise ImportError(
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"Python module h5py is required to process COSMO-SkyMed data"
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)
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import isceobj
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from isceobj.Scene.Frame import Frame
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from isceobj.Orbit.Orbit import StateVector
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from isceobj.Planet.Planet import Planet
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from isceobj.Planet.AstronomicalHandbook import Const
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from isceobj.Sensor import cosar
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from iscesys.DateTimeUtil.DateTimeUtil import DateTimeUtil as DTU
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from isceobj.Sensor import tkfunc,createAuxFile
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from iscesys.Component.Component import Component
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class KOMPSAT5(Component):
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"""
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A class representing a Level1Product meta data.
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Level1Product(hdf5=h5filename) will parse the hdf5
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file and produce an object with attributes for metadata.
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"""
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logging_name = 'isce.Sensor.KOMPSAT5'
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def __init__(self):
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super(KOMPSAT5,self).__init__()
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self.hdf5 = None
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self.output = None
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self.frame = Frame()
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self.frame.configure()
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# Some extra processing parameters unique to CSK SLC (currently)
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self.dopplerCoeffs = []
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self.rangeFirstTime = None
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self.rangeLastTime = None
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self.rangeRefTime = None
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self.refUTC = None
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self.descriptionOfVariables = {}
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self.dictionaryOfVariables = {'HDF5': ['self.hdf5','str','mandatory'],
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'OUTPUT': ['self.output','str','optional']}
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self.lookMap = {'RIGHT': -1,
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'LEFT': 1}
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return
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def __getstate__(self):
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d = dict(self.__dict__)
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del d['logger']
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return d
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def __setstate__(self,d):
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self.__dict__.update(d)
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self.logger = logging.getLogger('isce.Sensor.COSMO_SkyMed_SLC')
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return
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def getFrame(self):
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return self.frame
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def parse(self):
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try:
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fp = h5py.File(self.hdf5,'r')
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except Exception as strerr:
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self.logger.error("IOError: %s" % strerr)
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return None
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self.populateMetadata(fp)
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fp.close()
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def populateMetadata(self, file):
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"""
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Populate our Metadata objects
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"""
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self._populatePlatform(file)
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self._populateInstrument(file)
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self._populateFrame(file)
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self._populateOrbit(file)
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self._populateExtras(file)
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def _populatePlatform(self, file):
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platform = self.frame.getInstrument().getPlatform()
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platform.setMission(file.attrs['Satellite ID'])
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platform.setPointingDirection(self.lookMap[file.attrs['Look Side'].decode('utf-8')])
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platform.setPlanet(Planet(pname="Earth"))
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####This is an approximation for spotlight mode
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####In spotlight mode, antenna length changes with azimuth position
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platform.setAntennaLength(file.attrs['Antenna Length'])
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try:
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if file.attrs['Multi-Beam ID'].startswith('ES'):
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platform.setAntennaLength(16000.0/file['S01/SBI'].attrs['Line Time Interval'])
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except:
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pass
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def _populateInstrument(self, file):
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instrument = self.frame.getInstrument()
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# rangePixelSize = Const.c/(2*file['S01'].attrs['Sampling Rate'])
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rangePixelSize = file['S01/SBI'].attrs['Column Spacing']
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instrument.setRadarWavelength(file.attrs['Radar Wavelength'])
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# instrument.setPulseRepetitionFrequency(file['S01'].attrs['PRF'])
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instrument.setPulseRepetitionFrequency(1.0/file['S01/SBI'].attrs['Line Time Interval'])
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instrument.setRangePixelSize(rangePixelSize)
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instrument.setPulseLength(file['S01'].attrs['Range Chirp Length'])
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instrument.setChirpSlope(file['S01'].attrs['Range Chirp Rate'])
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# instrument.setRangeSamplingRate(file['S01'].attrs['Sampling Rate'])
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instrument.setRangeSamplingRate(1.0/file['S01/SBI'].attrs['Column Time Interval'])
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incangle = 0.5*(file['S01/SBI'].attrs['Far Incidence Angle'] +
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file['S01/SBI'].attrs['Near Incidence Angle'])
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instrument.setIncidenceAngle(incangle)
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def _populateFrame(self, file):
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rft = file['S01/SBI'].attrs['Zero Doppler Range First Time']
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slantRange = rft*Const.c/2.0
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self.frame.setStartingRange(slantRange)
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referenceUTC = self._parseNanoSecondTimeStamp(file.attrs['Reference UTC'])
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relStart = file['S01/SBI'].attrs['Zero Doppler Azimuth First Time']
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relEnd = file['S01/SBI'].attrs['Zero Doppler Azimuth Last Time']
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relMid = 0.5*(relStart + relEnd)
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sensingStart = self._combineDateTime(referenceUTC, relStart)
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sensingStop = self._combineDateTime(referenceUTC, relEnd)
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sensingMid = self._combineDateTime(referenceUTC, relMid)
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self.frame.setPassDirection(file.attrs['Orbit Direction'])
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self.frame.setOrbitNumber(file.attrs['Orbit Number'])
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self.frame.setProcessingFacility(file.attrs['Processing Centre'])
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self.frame.setProcessingSoftwareVersion(file.attrs['L0 Software Version'])
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self.frame.setPolarization(file['S01'].attrs['Polarisation'])
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self.frame.setNumberOfLines(file['S01/SBI'].shape[0])
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self.frame.setNumberOfSamples(file['S01/SBI'].shape[1])
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self.frame.setSensingStart(sensingStart)
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self.frame.setSensingMid(sensingMid)
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self.frame.setSensingStop(sensingStop)
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rangePixelSize = self.frame.getInstrument().getRangePixelSize()
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farRange = slantRange + (self.frame.getNumberOfSamples()-1)*rangePixelSize
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self.frame.setFarRange(farRange)
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def _populateOrbit(self,file):
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orbit = self.frame.getOrbit()
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orbit.setReferenceFrame('ECR')
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orbit.setOrbitSource('Header')
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t0 = datetime.datetime.strptime(file.attrs['Reference UTC'].decode('utf-8'),'%Y-%m-%d %H:%M:%S.%f000')
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t = file.attrs['State Vectors Times']
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position = file.attrs['ECEF Satellite Position']
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velocity = file.attrs['ECEF Satellite Velocity']
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for i in range(len(position)):
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vec = StateVector()
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dt = t0 + datetime.timedelta(seconds=t[i])
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vec.setTime(dt)
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vec.setPosition([position[i,0],position[i,1],position[i,2]])
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vec.setVelocity([velocity[i,0],velocity[i,1],velocity[i,2]])
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orbit.addStateVector(vec)
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def _populateExtras(self, file):
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"""
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Populate some of the extra fields unique to processing TSX data.
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In the future, other sensors may need this information as well,
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and a re-organization may be necessary.
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"""
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from isceobj.Doppler.Doppler import Doppler
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scale = file['S01'].attrs['PRF'] * file['S01/SBI'].attrs['Line Time Interval']
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self.dopplerCoeffs = file.attrs['Centroid vs Range Time Polynomial']*scale
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self.rangeRefTime = file.attrs['Range Polynomial Reference Time']
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self.rangeFirstTime = file['S01/SBI'].attrs['Zero Doppler Range First Time']
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self.rangeLastTime = file['S01/SBI'].attrs['Zero Doppler Range Last Time']
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def extractImage(self):
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import os
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from ctypes import cdll, c_char_p
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extract_csk = cdll.LoadLibrary(os.path.dirname(__file__)+'/csk.so')
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inFile_c = c_char_p(bytes(self.hdf5, 'utf-8'))
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outFile_c = c_char_p(bytes(self.output, 'utf-8'))
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extract_csk.extract_csk_slc(inFile_c, outFile_c)
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self.parse()
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slcImage = isceobj.createSlcImage()
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slcImage.setFilename(self.output)
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slcImage.setXmin(0)
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slcImage.setXmax(self.frame.getNumberOfSamples())
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slcImage.setWidth(self.frame.getNumberOfSamples())
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slcImage.setAccessMode('r')
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self.frame.setImage(slcImage)
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def _parseNanoSecondTimeStamp(self,timestamp):
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"""
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Parse a date-time string with nanosecond precision and return a datetime object
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"""
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dateTime,nanoSeconds = timestamp.decode('utf-8').split('.')
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microsec = float(nanoSeconds)*1e-3
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dt = datetime.datetime.strptime(dateTime,'%Y-%m-%d %H:%M:%S')
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dt = dt + datetime.timedelta(microseconds=microsec)
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return dt
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def _combineDateTime(self,dobj, secsstr):
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'''Takes the date from dobj and time from secs to spit out a date time object.
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'''
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sec = float(secsstr)
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dt = datetime.timedelta(seconds = sec)
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return dobj + dt
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def extractDoppler(self):
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"""
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Return the doppler centroid as defined in the HDF5 file.
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"""
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quadratic = {}
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midtime = (self.rangeLastTime + self.rangeFirstTime)*0.5 - self.rangeRefTime
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fd_mid = self.dopplerCoeffs[0] + self.dopplerCoeffs[1]*midtime + self.dopplerCoeffs[2]*midtime*midtime
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quadratic['a'] = fd_mid/self.frame.getInstrument().getPulseRepetitionFrequency()
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quadratic['b'] = 0.
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quadratic['c'] = 0.
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return quadratic
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