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ISCE_INSAR/contrib/PyCuAmpcor/src/cuAmpcorUtil.h

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PyCuAmpcor: updated to the most recent version with gdal input
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/*
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* cuAmpcorUtil.h
* header file to include the various routines for ampcor
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* serves as an index
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*/
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#ifndef __CUAMPCORUTIL_H
#define __CUMAPCORUTIL_H
#include "cuArrays.h"
#include "cuAmpcorParameter.h"
#include "cudaError.h"
#include "debug.h"
#include "cudaUtil.h"
#include "float2.h"
//in cuArraysCopy.cu: various utitlies for copy images file in gpu memory
void cuArraysCopyToBatch(cuArrays<float2> *image1, cuArrays<float2> *image2, int strideH, int strideW, cudaStream_t stream);
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void cuArraysCopyToBatchWithOffset(cuArrays<float2> *image1, const int lda1, cuArrays<float2> *image2,
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const int *offsetH, const int* offsetW, cudaStream_t stream);
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void cuArraysCopyToBatchAbsWithOffset(cuArrays<float2> *image1, const int lda1, cuArrays<float2> *image2,
const int *offsetH, const int* offsetW, cudaStream_t stream);
void cuArraysCopyToBatchWithOffsetR2C(cuArrays<float> *image1, const int lda1, cuArrays<float2> *image2,
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const int *offsetH, const int* offsetW, cudaStream_t stream);
void cuArraysCopyC2R(cuArrays<float2> *image1, cuArrays<float> *image2, int strideH, int strideW, cudaStream_t stream);
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// same routine name overloaded for different data type
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void cuArraysCopyExtract(cuArrays<float> *imagesIn, cuArrays<float> *imagesOut, cuArrays<int2> *offset, cudaStream_t stream);
void cuArraysCopyExtract(cuArrays<float> *imagesIn, cuArrays<float> *imagesOut, int2 offset, cudaStream_t stream);
void cuArraysCopyExtract(cuArrays<float2> *imagesIn, cuArrays<float> *imagesOut, int2 offset, cudaStream_t stream);
void cuArraysCopyExtract(cuArrays<float2> *imagesIn, cuArrays<float2> *imagesOut, int2 offset, cudaStream_t stream);
void cuArraysCopyExtract(cuArrays<float2> *imagesIn, cuArrays<float2> *imagesOut, cuArrays<int2> *offsets, cudaStream_t stream);
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void cuArraysCopyExtract(cuArrays<float3> *imagesIn, cuArrays<float3> *imagesOut, int2 offset, cudaStream_t stream);
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void cuArraysCopyInsert(cuArrays<float2> *imageIn, cuArrays<float2> *imageOut, int offsetX, int offersetY, cudaStream_t stream);
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void cuArraysCopyInsert(cuArrays<float3> *imageIn, cuArrays<float3> *imageOut, int offsetX, int offersetY, cudaStream_t stream);
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void cuArraysCopyInsert(cuArrays<float> *imageIn, cuArrays<float> *imageOut, int offsetX, int offsetY, cudaStream_t stream);
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void cuArraysCopyInsert(cuArrays<int> *imageIn, cuArrays<int> *imageOut, int offsetX, int offersetY, cudaStream_t stream);
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void cuArraysCopyInversePadded(cuArrays<float> *imageIn, cuArrays<float> *imageOut,cudaStream_t stream);
void cuArraysCopyPadded(cuArrays<float> *imageIn, cuArrays<float> *imageOut,cudaStream_t stream);
void cuArraysCopyPadded(cuArrays<float> *imageIn, cuArrays<float2> *imageOut,cudaStream_t stream);
void cuArraysCopyPadded(cuArrays<float2> *imageIn, cuArrays<float2> *imageOut,cudaStream_t stream);
void cuArraysSetConstant(cuArrays<float> *imageIn, float value, cudaStream_t stream);
//in cuDeramp.cu: deramping phase
void cuDeramp(int method, cuArrays<float2> *images, cudaStream_t stream);
void cuDerampMethod1(cuArrays<float2> *images, cudaStream_t stream);
void cuDerampMethod2(cuArrays<float2> *images, cudaStream_t stream);
void cpuDerampMethod3(cuArrays<float2> *images, cudaStream_t stream);
//in cuArraysPadding.cu: various utilities for oversampling padding
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void cuArraysPadding(cuArrays<float2> *image1, cuArrays<float2> *image2, cudaStream_t stream);
void cuArraysPaddingMany(cuArrays<float2> *image1, cuArrays<float2> *image2, cudaStream_t stream);
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void cuArraysR2C(cuArrays<float> *image1, cuArrays<float2> *image2, cudaStream_t stream);
void cuArraysC2R(cuArrays<float2> *image1, cuArrays<float> *image2, cudaStream_t stream);
void cuArraysAbs(cuArrays<float2> *image1, cuArrays<float> *image2, cudaStream_t stream);
//in cuCorrNormalization.cu: utities to normalize the cross correlation function
void cuArraysSubtractMean(cuArrays<float> *images, cudaStream_t stream);
void cuCorrNormalize(cuArrays<float> *templates, cuArrays<float> *images, cuArrays<float> *results, cudaStream_t stream);
//in cuOffset.cu: utitilies for determining the max locaiton of cross correlations or the offset
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void cuArraysMaxloc2D(cuArrays<float> *images, cuArrays<int2> *maxloc, cuArrays<float> *maxval, cudaStream_t stream);
void cuArraysMaxloc2D(cuArrays<float> *images, cuArrays<int2> *maxloc, cudaStream_t stream);
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void cuSubPixelOffset(cuArrays<int2> *offsetInit, cuArrays<int2> *offsetZoomIn, cuArrays<float2> *offsetFinal,
int OverSampleRatioZoomin, int OverSampleRatioRaw,
int xHalfRangeInit, int yHalfRangeInit, int xHalfRangeZoomIn, int yHalfRangeZoomIn,
cudaStream_t stream);
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void cuDetermineInterpZone(cuArrays<int2> *maxloc, cuArrays<int2> *zoomInOffset, cuArrays<float> *corrOrig, cuArrays<float> *corrZoomIn, cudaStream_t stream);
diversity: replaced oppressive language with neutral definitions of the images that comprise an interferogram through the entire repository
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void cuDetermineSecondaryExtractOffset(cuArrays<int2> *maxLoc, int xOldRange, int yOldRange, int xNewRange, int yNewRange, cudaStream_t stream);
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//in cuCorrTimeDomain.cu: cross correlation in time domain
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void cuCorrTimeDomain(cuArrays<float> *templates, cuArrays<float> *images, cuArrays<float> *results, cudaStream_t stream);
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//in cuCorrFrequency.cu: cross correlation in freq domain, also include fft correlatior class
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void cuArraysElementMultiply(cuArrays<float2> *image1, cuArrays<float2> *image2, cudaStream_t stream);
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void cuArraysElementMultiplyConjugate(cuArrays<float2> *image1, cuArrays<float2> *image2, float coef, cudaStream_t stream);
// For SNR estimation on Correlation surface (Minyan Zhong)
// implemented in cuArraysCopy.cu
void cuArraysCopyExtractCorr(cuArrays<float> *imagesIn, cuArrays<float> *imagesOut, cuArrays<int> *imagesValid, cuArrays<int2> *maxloc, cudaStream_t stream);
// implemented in cuCorrNormalization.cu
void cuArraysSumCorr(cuArrays<float> *images, cuArrays<int> *imagesValid, cuArrays<float> *imagesSum, cuArrays<int> *imagesValidCount, cudaStream_t stream);
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// implemented in cuEstimateStats.cu
void cuEstimateSnr(cuArrays<float> *corrSum, cuArrays<int> *corrValidCount, cuArrays<float> *maxval, cuArrays<float> *snrValue, cudaStream_t stream);
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// implemented in cuEstimateStats.cu
void cuEstimateVariance(cuArrays<float> *corrBatchRaw, cuArrays<int2> *maxloc, cuArrays<float> *maxval, cuArrays<float3> *covValue, cudaStream_t stream);
#endif