259 lines
8.9 KiB
Python
Executable File
259 lines
8.9 KiB
Python
Executable File
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# Copyright 2010 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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from __future__ import print_function
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from iscesys.Component.Component import Component,Port
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from isceobj.Location.Offset import OffsetField,Offset
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from mroipac.fitoff import fitoff
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from isceobj.Util.decorators import dov, pickled, logged
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@pickled
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class Fitoff(Component):
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logging_name = "mroipac.fitoff"
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dictionaryOfVariables = {
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'NUMBER_OF_SIGMAS' : ['nSigma', float, True],
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'MAX_RMS' : ['maxRMS', float, True],
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'NUM_POINTS' : ['numPoints', int, True],
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'MIN_ITER': ['minIter', int, True],
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'MAX_ITER': ['maxIter', int, True],
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'MIN_PONTS': ['minPoints', int, True],
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}
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dictionaryOfOutputVariables = {
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'AFFINE_TRANSFORM' : 'affineTransform',
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'AVERAGE_OFFSET_DOWN' : 'averageOffsetDown',
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'AVERAGE_OFFSET_ACROSS' : 'averageOffsetAcross'
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}
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@dov
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@logged
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def __init__(self):
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super(Fitoff, self).__init__()
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self.numPoints = 0
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self.maxRMS = 0.08
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self.nSigma = 1.5
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self.minPoints = 50
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self.minIter = 3
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self.maxIter = 30
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self.useL1norm = True
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self.affineTransform = []
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self.averageOffsetDown = None
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self.averageOffsetAcross = None
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self.numPoints = None
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self.locationAcross = []
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self.locationAcrossOffset = []
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self.locationDown = []
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self.locationDownOffset = []
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self.distance = None
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self.snr = []
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self.cov_across = []
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self.cov_down = []
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self.cov_cross = []
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self.numRefined = None
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self.refinedOffsetField = None
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self.createPorts()
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# self.stdWriter = None
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return None
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def createPorts(self):
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self._inputPorts.add( Port(name='offsets',method=self.addOffsets) )
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return None
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def fitoff(self):
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for port in self._inputPorts:
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method = port.getMethod()
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method()
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self.numPoints = len(self.locationAcross)
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self.allocateArrays()
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self.setState()
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fitoff.fitoff_Py()
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self.getState()
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self.deallocateArrays()
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def setState(self):
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fitoff.setStdWriter_Py(int(self.stdWriter))
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fitoff.setLocationAcross_Py(self.locationAcross,
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self.numPoints)
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fitoff.setLocationAcrossOffset_Py(self.locationAcrossOffset,
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self.numPoints)
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fitoff.setLocationDown_Py(self.locationDown,
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self.numPoints)
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fitoff.setLocationDownOffset_Py(self.locationDownOffset,
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self.numPoints)
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fitoff.setSNR_Py(self.snr, self.numPoints)
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fitoff.setCovDown_Py(self.cov_down, self.numPoints)
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fitoff.setCovAcross_Py(self.cov_across, self.numPoints)
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fitoff.setCovCross_Py(self.cov_cross, self.numPoints)
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fitoff.setMaxRms_Py(self.maxRMS)
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fitoff.setNSig_Py(self.nSigma)
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fitoff.setMinPoint_Py(self.minPoints)
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fitoff.setL1normFlag_Py(int(self.useL1norm))
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fitoff.setMinIter_Py(self.minIter)
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fitoff.setMaxIter_Py(self.maxIter)
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def setNumberOfPoints(self, var):
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self.numPoints = int(var)
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def setLocationAcross(self, var):
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self.locationAcross = var
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def setLocationAcrossOffset(self, var):
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self.locationAcrossOffset = var
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def setLocationDown(self, var):
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self.locationDown = var
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def setLocationDownOffset(self, var):
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self.locationDownOffset = var
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def setCov_Across(self, var):
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self.cov_across = var
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def setCov_Down(self, var):
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self.covDown = var
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def setCov_Cross(self,var):
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self.cov_cross = var
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def setNSigma(self, var):
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self.nSigma = var
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def setMaxRMS(self, var):
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self.maxRms = var
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def setSNR(self, var):
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self.snr = var
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def setMinPoints(self, var):
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self.minPoints = var
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# def stdWriter(self, var):
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# self.stdWriter = var
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def getState(self):
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#Notice that we allocated a larger size since it was not known a priori, but when we retrieve the data we only retrieve the valid ones
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self.affineVec = fitoff.getAffineVector_Py()
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self.averageOffsetAcross = self.affineVec[4]
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self.averageOffsetDown = self.affineVec[5]
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self.numRefined = fitoff.getNumberOfRefinedOffsets_Py()
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retList = fitoff.getRefinedOffsetField_Py(self.numRefined)
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self.refinedOffsetField = OffsetField()
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for value in retList:
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oneoff = Offset(value[0],
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value[1],
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value[2],
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value[3],
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value[4],
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value[5],
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value[6],
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value[7])
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self.refinedOffsetField.addOffset(oneoff)
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return
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def getAverageOffsetDown(self):
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return self.averageOffsetDown
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def getAverageOffsetAcross(self):
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return self.averageOffsetAcross
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def getRefinedLocations(self):
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indxA = self.indexArray
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numArrays = 6
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retList = [[0]*len(indxA) for i in range(numArrays)]
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for j in range(len(retList[0])):
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retList[0][j] = self.locationAcross[indxA[j]]
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retList[1][j] = self.locationAcrossOffset[indxA[j]]
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retList[2][j] = self.locationDown[indxA[j]]
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retList[3][j] = self.locationDownOffset[indxA[j]]
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retList[4][j] = self.snr[indxA[j]]
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retList[5][j] = self.sig[indxA[j]]
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return retList
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def getRefinedOffsetField(self):
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offsets = OffsetField()
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indxA = self.indexArray
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for j in range(len(indxA)):
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offset = Offset()
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across = self.locationAcross[indxA[j]]
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down = self.locationDown[indxA[j]]
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acrossOffset = self.locationAcrossOffset[indxA[j]]
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downOffset = self.locationDownOffset[indxA[j]]
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snr = self.snr[indxA[j]]
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offset.setCoordinate(across,down)
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offset.setOffset(acrossOffset,downOffset)
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offset.setSignalToNoise(snr)
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offsets.addOffset(offset)
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return offsets
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def allocateArrays(self):
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if self.numPoints is None:
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self.numPoints = len(self.locationAcross)
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fitoff.setNumberLines_Py(int(self.numPoints))
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fitoff.allocateArrays_Py(int(self.numPoints))
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return
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def deallocateArrays(self):
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fitoff.deallocateArrays_Py()
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def addOffsets(self):
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offsets = self._inputPorts.getPort('offsets').getObject()
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if offsets:
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try:
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for offset in offsets:
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across, down = offset.getCoordinate()
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acrossOffset, downOffset = offset.getOffset()
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snr = offset.getSignalToNoise()
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cova, covd, covx = offset.getCovariance()
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self.locationAcross.append(across)
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self.locationDown.append(down)
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self.locationAcrossOffset.append(acrossOffset)
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self.locationDownOffset.append(downOffset)
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self.snr.append(snr)
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self.cov_across.append(cova) # Sigmas used in the inversion
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self.cov_down.append(covd)
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self.cov_cross.append(covx)
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except AttributeError as strerr:
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self.logger.error(strerr)
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raise AttributeError("Unable to wire Offset port")
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pass
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pass
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pass
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