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/*
* Copyright (C) 2005-2017 Centre National d'Etudes Spatiales (CNES)
*
* This file is part of Orfeo Toolbox
*
* https://www.orfeo-toolbox.org/
*
* 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.
*/
#include "otbImage.h"
#include "otbVectorImage.h"
#include "otbImageFileReader.h"
#include "otbImageFileWriter.h"
#include "otbDotProductImageFilter.h"
#include "otbProjectiveProjectionImageFilter.h"
#include "otbMatrixImageFilter.h"
#include "otbVectorImageToMatrixImageFilter.h"
#include "otbStreamingStatisticsImageFilter.h"
#include "otbStreamingStatisticsVectorImageFilter.h"
const unsigned int Dimension = 2;
typedef double PixelType;
typedef double PrecisionType;
typedef otb::Image<PixelType, Dimension> ImageType;
typedef otb::VectorImage<PixelType, Dimension> VectorImageType;
typedef otb::ImageFileReader<VectorImageType> ReaderType;
typedef otb::ProjectiveProjectionImageFilter<VectorImageType, VectorImageType, PrecisionType> ProjectiveProjectionImageFilterType;
typedef otb::DotProductImageFilter<VectorImageType, ImageType> DotProductImageFilterType;
typedef otb::MatrixImageFilter<VectorImageType, VectorImageType> MatrixImageFilterType;
typedef otb::VectorImageToMatrixImageFilter<VectorImageType> VectorImageToMatrixImageFilterType;
typedef otb::ImageFileWriter<VectorImageType> WriterType;
typedef otb::StreamingStatisticsVectorImageFilter<VectorImageType> StreamingStatisticsVectorImageFilterType;
typedef otb::StreamingStatisticsImageFilter<ImageType> StreamingStatisticsImageFilterType;
typedef StreamingStatisticsVectorImageFilterType::MatrixType MatrixType;
int otbProjectiveProjectionNew(int itkNotUsed(argc), char * itkNotUsed(argv) [])
{
ProjectiveProjectionImageFilterType::Pointer filter = ProjectiveProjectionImageFilterType::New();
std::cout << filter << std::endl;
return EXIT_SUCCESS;
}
int otbProjectiveProjectionTestHighSNR(int itkNotUsed(argc), char * argv[])
{
const char * inputImage = argv[1];
const unsigned int nbEndmembers = atoi(argv[2]);
const char * outputImage = argv[3];
ReaderType::Pointer readerImage = ReaderType::New();
readerImage->SetFileName(inputImage);
std::cout << "Computing image stats" << std::endl;
StreamingStatisticsVectorImageFilterType::Pointer statsInput = \
StreamingStatisticsVectorImageFilterType::New();
statsInput->SetInput(readerImage->GetOutput());
statsInput->Update();
std::cout << "Computing SVD of correlation matrix" << std::endl;
// Take the correlation matrix
vnl_matrix<PrecisionType> R = statsInput->GetCorrelation().GetVnlMatrix();
// Apply SVD
vnl_svd<PrecisionType> svd(R);
vnl_matrix<PrecisionType> U = svd.U();
vnl_matrix<PrecisionType> Ud = U.get_n_columns(0, nbEndmembers).transpose();
std::cout << "Apply dimensionnality reduction" << std::endl;
// Xd = Ud.'*M;
MatrixImageFilterType::Pointer mulUd = MatrixImageFilterType::New();
mulUd->SetInput(readerImage->GetOutput());
mulUd->SetMatrix(Ud);
mulUd->MatrixByVectorOn();
mulUd->UpdateOutputInformation();
VectorImageType::Pointer Xd = mulUd->GetOutput();
// Compute mean(Xd)
std::cout << "Compute mean(Xd)" << std::endl;
StreamingStatisticsVectorImageFilterType::Pointer statsXd = \
StreamingStatisticsVectorImageFilterType::New();
statsXd->SetInput(Xd);
statsXd->Update();
VectorImageType::PixelType Xdmean = statsXd->GetMean();
// Compute Xd ./ repmat( sum( Xd .* repmat(u, [1 N]) ) , [d 1]);
// -> divides each pixel component by the dot product <Xd(i, j), mean(Xd)>
std::cout << "Compute projective projection" << std::endl;
ProjectiveProjectionImageFilterType::Pointer proj = ProjectiveProjectionImageFilterType::New();
proj->SetInput(Xd);
proj->SetProjectionDirection(Xdmean);
std::cout << "Write output" << std::endl;
WriterType::Pointer writer = WriterType::New();
writer->SetFileName(outputImage);
writer->SetInput(proj->GetOutput());
writer->Update();
return EXIT_SUCCESS;
}
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