otbPansharpening.cxx

/*=========================================================================

 Program:   ORFEO Toolbox
 Language:  C++
 Date:      $Date$
 Version:   $Revision$


 Copyright (c) Centre National d'Etudes Spatiales. All rights reserved.
 See OTBCopyright.txt for details.


 This software is distributed WITHOUT ANY WARRANTY; without even
 the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
 PURPOSE.  See the above copyright notices for more information.

 =========================================================================*/
#include "otbWrapperApplication.h"
#include "otbWrapperApplicationFactory.h"

#include "itkVectorIndexSelectionCastImageFilter.h"
#include "otbGenericRSResampleImageFilter.h"
#include "otbBCOInterpolateImageFunction.h"

#include "otbSimpleRcsPanSharpeningFusionImageFilter.h"
#include "otbBayesianFusionFilter.h"

#include "otbGenericRSResampleImageFilter.h"
#include "otbBCOInterpolateImageFunction.h"

#include "otbLmvmPanSharpeningFusionImageFilter.h"

#include "itkPixelBuilder.h"
#include "itkFixedArray.h"

// Elevation handler
#include "otbWrapperElevationParametersHandler.h"

namespace otb
{
namespace Wrapper
{


class Pansharpening : public Application
{
public:
  /** Standard class typedefs. */
  typedef Pansharpening                 Self;
  typedef Application                   Superclass;
  typedef itk::SmartPointer<Self>       Pointer;
  typedef itk::SmartPointer<const Self> ConstPointer;

  typedef itk::ImageToImageFilter<FloatVectorImageType, FloatVectorImageType> FusionFilterType;

  typedef otb::SimpleRcsPanSharpeningFusionImageFilter<FloatImageType, FloatVectorImageType, FloatVectorImageType> SimpleRCSFilterType;

  typedef otb::LmvmPanSharpeningFusionImageFilter
    <FloatImageType, FloatVectorImageType, FloatVectorImageType, double> LmvmFilterType;

  typedef otb::BayesianFusionFilter<FloatVectorImageType, FloatVectorImageType, FloatImageType, FloatVectorImageType> BayesianFilterType;

  typedef otb::BCOInterpolateImageFunction<FloatVectorImageType>   InterpolatorType;
  typedef otb::GenericRSResampleImageFilter<FloatVectorImageType,
                                            FloatVectorImageType>  ResamplerType;

  /** Standard macro */
  itkNewMacro(Self);

  itkTypeMacro(Pansharpening, otb::Application);

private:

  void DoInit()
  {
    SetName("Pansharpening");
    SetDescription("Perform P+XS pansharpening");

    // Documentation
    SetDocName("Pansharpening");
    SetDocLongDescription("This application performs P+XS pansharpening. Pansharpening is a process of merging high-resolution panchromatic and lower resolution multispectral imagery to create a single high-resolution color image. Algorithms available in the applications are: RCS, bayesian fusion and Local Mean and Variance Matching(LMVM).");
    SetDocLimitations("None");
    SetDocAuthors("OTB-Team");
    SetDocSeeAlso(" ");

    AddDocTag(Tags::Geometry);
    AddDocTag(Tags::Pansharpening);

    AddParameter(ParameterType_InputImage,   "inp",   "Input PAN Image");
    SetParameterDescription("inp"," Input panchromatic image.");
    AddParameter(ParameterType_InputImage,   "inxs",  "Input XS Image");
    SetParameterDescription("inxs"," Input XS image.");

    AddParameter(ParameterType_OutputImage,  "out",   "Output image");
    SetParameterDescription("out"," Output image.");

    AddParameter(ParameterType_Choice, "method", "Algorithm");
    SetParameterDescription("method", "Selection of the pan-sharpening method.");

    AddChoice("method.rcs", "RCS");
    SetParameterDescription("method.rcs", "Simple RCS Pan sharpening operation.");

    AddChoice("method.lmvm", "LMVM");
    SetParameterDescription("method.lmvm", "Local Mean and Variance Matching (LMVM) Pan sharpening.");
    
    AddParameter(ParameterType_Int, "method.lmvm.radiusx", "X radius" );
    SetParameterDescription("method.lmvm.radiusx","Set the x radius of the sliding window." );
    SetMinimumParameterIntValue("method.lmvm.radiusx", 1);
    SetDefaultParameterInt("method.lmvm.radiusx", 3);
    
    AddParameter(ParameterType_Int, "method.lmvm.radiusy", "Y radius");
    SetParameterDescription("method.lmvm.radiusy", "Set the y radius of the sliding window.");
    SetMinimumParameterIntValue("method.lmvm.radiusy", 1);
    SetDefaultParameterInt("method.lmvm.radiusy", 3);

    AddChoice("method.bayes", "Bayesian");
    SetParameterDescription("method.bayes", "Bayesian fusion.");

    AddParameter(ParameterType_Float, "method.bayes.lambda", "Weight");
    SetParameterDescription("method.bayes.lambda", "Set the weighting value.");
    SetMinimumParameterFloatValue("method.bayes.lambda", 0);
    SetDefaultParameterFloat("method.bayes.lambda", 0.9999);
    
    AddParameter(ParameterType_Float, "method.bayes.s", "S coefficient");
    SetParameterDescription("method.bayes.s", "Set the S coefficient.");
    SetMinimumParameterFloatValue("method.bayes.s", 1);
    SetDefaultParameterFloat("method.bayes.s", 1);
    
    AddRAMParameter();

    // Doc example parameter settings
    SetDocExampleParameterValue("inp", "QB_Toulouse_Ortho_PAN.tif");
    SetDocExampleParameterValue("inxs", "QB_Toulouse_Ortho_XS.tif");
    SetDocExampleParameterValue("out", "Pansharpening.tif uint16");

  }

  void DoUpdateParameters()
  {
    // Nothing to do here : all parameters are independent
  }

  void DoExecute()
  {
    FloatVectorImageType* panchroV = GetParameterImage("inp");
    if ( panchroV->GetNumberOfComponentsPerPixel() != 1 )
      {
      itkExceptionMacro(<< "The panchromatic image must be a single channel image")
      }

    // Transform the PAN image to otb::Image
    typedef otb::Image<FloatVectorImageType::InternalPixelType> FloatImageType;
    typedef itk::VectorIndexSelectionCastImageFilter<FloatVectorImageType, FloatImageType> VectorIndexSelectionCastImageFilterType;

    VectorIndexSelectionCastImageFilterType::Pointer channelSelect = VectorIndexSelectionCastImageFilterType::New();
    m_Ref.push_back(channelSelect.GetPointer());
    channelSelect->SetIndex(0);
    channelSelect->SetInput(panchroV);
    channelSelect->UpdateOutputInformation();

    FloatImageType::Pointer panchro = channelSelect->GetOutput();
    FloatVectorImageType* xs = GetParameterImage("inxs");

    switch (GetParameterInt("method"))
      {
      case 0:
      {
      SimpleRCSFilterType::Pointer  filter = SimpleRCSFilterType::New();
      m_Ref.push_back(filter.GetPointer());

      filter->SetPanInput(panchro);
      filter->SetXsInput(xs);

      filter->UpdateOutputInformation();
      otbAppLogINFO( << "Simple RCS algorithm" );
      m_FusionFilter = filter;
      break;
      }
      case 1:
      {
      LmvmFilterType::Pointer filter = LmvmFilterType::New();

      filter->SetXsInput(xs);
      filter->SetPanInput(panchro);

      double radiusx = static_cast<unsigned int> (GetParameterInt("method.lmvm.radiusx"));
      double radiusy = static_cast<unsigned int> (GetParameterInt("method.lmvm.radiusy"));

      FloatImageType::SizeType radius;
      radius[0] = radiusx;
      radius[1] = radiusy;

      filter->SetRadius(radius);

      itk::Array<double> filterCoeffs;
      filterCoeffs.SetSize((2 * radius[0] + 1) * (2 * radius[1] + 1));
      filterCoeffs.Fill(1);
      filter->SetFilter(filterCoeffs);

      filter->UpdateOutputInformation();

      otbAppLogINFO( << "Lmvm algorithm" );

      m_FusionFilter = filter;
      break;
      }
      case 2:
      {
      BayesianFilterType::Pointer filter = BayesianFilterType::New();

      double lambda = static_cast<double> (GetParameterFloat("method.bayes.lambda"));
      double s = static_cast<double> (GetParameterFloat("method.bayes.s"));

      filter->SetS(s);
      filter->SetLambda(lambda);

      filter->SetMultiSpect(xs);

      filter->SetMultiSpectInterp(xs);
      filter->SetPanchro(panchro);

      filter->UpdateOutputInformation();
      otbAppLogINFO( << "Bayesian fusion algorithm" );
      m_FusionFilter = filter;

      break;
      }

      default:
      {
      otbAppLogFATAL(<<"non defined method "<<GetParameterInt("method")<<std::endl);
      break;
      }
      return;
      }

    SetParameterOutputImage("out", m_FusionFilter->GetOutput());
  }

  std::vector<itk::ProcessObject::Pointer> m_Ref;
  FusionFilterType::Pointer m_FusionFilter;
};
}
}

OTB_APPLICATION_EXPORT(otb::Wrapper::Pansharpening)