286 lines
10 KiB
Python
286 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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import logging
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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 ICEYE 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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HDF5 = Component.Parameter(
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'hdf5',
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public_name='HDF5',
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default=None,
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type=str,
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mandatory=True,
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intent='input',
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doc='ICEYE slc hdf5 input file'
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)
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APPLY_SLANT_RANGE_PHASE = Component.Parameter(
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'applySlantRangePhase',
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public_name='APPLY_SLANT_RANGE_PHASE',
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default=False,
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type=bool,
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mandatory=True,
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intent='input',
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doc='Recenter spectra by applying range spectra shift'
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)
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from .Sensor import Sensor
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class ICEYE_SLC(Sensor):
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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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parameter_list = (HDF5, APPLY_SLANT_RANGE_PHASE) + Sensor.parameter_list
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logging_name = 'isce.Sensor.ICEYE_SLC'
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family = 'iceye_slc'
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def __init__(self,family='',name=''):
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super(ICEYE_SLC,self).__init__(family if family else self.__class__.family, name=name)
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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.dopplerRangeTime = []
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self.dopplerAzimuthTime = []
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self.azimuthRefTime = None
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self.rangeRefTime = None
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self.rangeFirstTime = None
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self.rangeLastTime = None
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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.ICEYE_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['satellite_name'][()])
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platform.setPointingDirection(self.lookMap[file['look_side'][()].upper()])
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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(2 * file['azimuth_ground_spacing'][()])
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assert( file['range_looks'][()] == 1)
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assert( file['azimuth_looks'][()] == 1)
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def _populateInstrument(self, file):
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instrument = self.frame.getInstrument()
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rangePixelSize = file['slant_range_spacing'][()]
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instrument.setRadarWavelength(Const.c / file['carrier_frequency'][()])
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instrument.setPulseRepetitionFrequency(file['processing_prf'][()])
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instrument.setRangePixelSize(rangePixelSize)
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instrument.setPulseLength(file['chirp_duration'][()])
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instrument.setChirpSlope(file['chirp_bandwidth'][()]/ file['chirp_duration'][()])
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instrument.setRangeSamplingRate(file['range_sampling_rate'][()])
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incangle = file['local_incidence_angle']
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instrument.setIncidenceAngle(incangle[incangle.size//2])
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def _populateFrame(self, file):
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rft = file['first_pixel_time'][()]
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slantRange = rft*Const.c/2.0
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self.frame.setStartingRange(slantRange)
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sensingStart = datetime.datetime.strptime(file['zerodoppler_start_utc'][()].decode('utf-8'),'%Y-%m-%dT%H:%M:%S.%f')
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sensingStop = datetime.datetime.strptime(file['zerodoppler_end_utc'][()].decode('utf-8'),'%Y-%m-%dT%H:%M:%S.%f')
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sensingMid = sensingStart + 0.5 * (sensingStop - sensingStart)
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self.frame.setPassDirection(file['orbit_direction'][()])
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self.frame.setOrbitNumber(file['orbit_absolute_number'][()])
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self.frame.setProcessingFacility('ICEYE')
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self.frame.setProcessingSoftwareVersion(str(file['processor_version'][()]))
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self.frame.setPolarization(file['polarization'][()])
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self.frame.setNumberOfLines(file['number_of_azimuth_samples'][()])
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self.frame.setNumberOfSamples(file['number_of_range_samples'][()])
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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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import numpy as np
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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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t = file['state_vector_time_utc'][:]
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position = np.zeros((t.size,3))
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position[:,0] = file['posX'][:]
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position[:,1] = file['posY'][:]
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position[:,2] = file['posZ'][:]
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velocity = np.zeros((t.size,3))
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velocity[:,0] = file['velX'][:]
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velocity[:,1] = file['velY'][:]
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velocity[:,2] = file['velZ'][:]
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for ii in range(t.size):
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vec = StateVector()
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vec.setTime(datetime.datetime.strptime(t[ii][0].decode('utf-8'), '%Y-%m-%dT%H:%M:%S.%f'))
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vec.setPosition([position[ii,0],position[ii,1],position[ii,2]])
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vec.setVelocity([velocity[ii,0],velocity[ii,1],velocity[ii,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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import numpy as np
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self.dcpoly = np.mean(file['dc_estimate_coeffs'][:], axis=0)
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def extractImage(self):
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import numpy as np
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import h5py
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self.parse()
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fid = h5py.File(self.hdf5, 'r')
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si = fid['s_i']
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sq = fid['s_q']
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nLines = si.shape[0]
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spectralShift = 2 * self.frame.getInstrument().getRangePixelSize() / self.frame.getInstrument().getRadarWavelength()
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spectralShift -= np.floor(spectralShift)
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phsShift = np.exp(-1j * 2 * np.pi * spectralShift * np.arange(si.shape[1]))
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with open(self.output, 'wb') as fout:
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for ii in range(nLines):
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line = (si[ii,:] + 1j*sq[ii,:])
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if self.applySlantRangePhase:
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line *= phsShift
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line.astype(np.complex64).tofile(fout)
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fid.close()
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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 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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import numpy as np
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quadratic = {}
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rangePixelSize = self.frame.getInstrument().getRangePixelSize()
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rt0 = self.frame.getStartingRange() / (2 * Const.c)
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rt1 = rt0 +((self.frame.getNumberOfSamples()-1)*rangePixelSize) / (2 * Const.c)
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####insarApp style
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quadratic['a'] = np.polyval( self.dcpoly, 0.5 * (rt0 + rt1)) / self.frame.PRF
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quadratic['b'] = 0.
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quadratic['c'] = 0.
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####For roiApp more accurate
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####Convert stuff to pixel wise coefficients
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x = np.linspace(rt0, rt1, num=len(self.dcpoly)+1)
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pix = np.linspace(0, self.frame.getNumberOfSamples(), num=len(self.dcpoly)+1)
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evals = np.polyval(self.dcpoly, x)
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fit = np.polyfit(pix, evals, len(self.dcpoly)-1)
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self.frame._dopplerVsPixel = list(fit[::-1])
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print('Doppler Fit: ', self.frame._dopplerVsPixel)
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return quadratic
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