otbSpectralAngleDistanceImageFilter.hxx

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/*
 * Copyright (C) 2005-2024 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.
 */
 
#ifndef otbSpectralAngleDistanceImageFilter_hxx
#define otbSpectralAngleDistanceImageFilter_hxx
 
#include "otbSpectralAngleDistanceImageFilter.h"
#include "itkImageRegionIterator.h"
#include "itkProgressReporter.h"
#include "otbMacro.h"
#include "otbMath.h"
 
namespace otb
{
template <class TInputImage, class TOutputImage>
SpectralAngleDistanceImageFilter<TInputImage, TOutputImage>::SpectralAngleDistanceImageFilter()
{
  this->DynamicMultiThreadingOn();
  m_ReferencePixel = 0;
}
 
template <class TInputImage, class TOutputImage>
void SpectralAngleDistanceImageFilter<TInputImage, TOutputImage>::BeforeThreadedGenerateData()
{
  if (this->GetInput()->GetNumberOfComponentsPerPixel() == 1)
  {
    itkExceptionMacro(<< "Not valid input image : mono channel image gives a nul output image.");
  }
}
 
template <class TInputImage, class TOutputImage>
void SpectralAngleDistanceImageFilter<TInputImage, TOutputImage>::DynamicThreadedGenerateData(const OutputImageRegionType& outputRegionForThread)
{
 
  if (m_ReferencePixel.Size() == 0)
  {
    itkExceptionMacro(<< "Reference pixel is not set!");
  }
 
  InputImageConstPointerType inputPtr  = this->GetInput();
  OutputImagePointerType     outputPtr = this->GetOutput();
 
  // inputPtr->UpdateOutputInformation();
  // Check if the reference pixel size matches the input image number of components.
  if (m_ReferencePixel.GetSize() != inputPtr->GetNumberOfComponentsPerPixel())
  {
    itkExceptionMacro(<< "Reference pixel size (" << m_ReferencePixel.GetSize() << " and input image pixel size (" << inputPtr->GetNumberOfComponentsPerPixel()
                      << ") don't match!");
  }
 
  // Define the portion of the input to walk for this thread, using
  // the CallCopyOutputRegionToInputRegion method allows for the input
  // and output images to be different dimensions
  InputImageRegionType inputRegionForThread;
  this->CallCopyOutputRegionToInputRegion(inputRegionForThread, outputRegionForThread);
 
  // Define the iterators
  itk::ImageRegionConstIterator<InputImageType> inputIt(inputPtr, inputRegionForThread);
  itk::ImageRegionIterator<OutputImageType>     outputIt(outputPtr, outputRegionForThread);
 
  inputIt.GoToBegin();
  outputIt.GoToBegin();
 
  while (!inputIt.IsAtEnd() && !outputIt.IsAtEnd())
  {
    double         dist       = 0.0;
    double         scalarProd = 0.0;
    double         normProd   = 0.0;
    double         normProd1  = 0.0;
    double         normProd2  = 0.0;
    InputPixelType pixel      = inputIt.Get();
    for (unsigned int i = 0; i < pixel.Size(); ++i)
    {
      scalarProd += pixel[i] * m_ReferencePixel[i];
      normProd1 += pixel[i] * pixel[i];
      normProd2 += m_ReferencePixel[i] * m_ReferencePixel[i];
    }
    normProd = normProd1 * normProd2;
 
    if (normProd == 0.0)
    {
      dist = 0.0;
    }
    else
    {
      dist = std::acos(scalarProd / std::sqrt(normProd));
    }
    //------ This part was suppressed since the filter must perform only the spectral angle computation ---
    // Spectral angle normalization
    // dist = dist/(CONST_PI_2);
    // square ponderation
    // dist = std::sqrt(dist);
    outputIt.Set(static_cast<OutputPixelType>(dist));
    ++inputIt;
    ++outputIt;
  }
}