ENH: remove MaximumAutocorrelationFactor application (duplicated in DimensionnalityReduction)

Applications/DimensionalityReduction/otbMaximumAutocorrelationFactor.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 "otbMaximumAutocorrelationFactorImageFilter.h"
-
-namespace otb
-{
-namespace Wrapper
-{
-
-class MaximumAutocorrelationFactor: public Application
-{
-public:
-  /** Standard class typedefs. */
-  typedef MaximumAutocorrelationFactor          Self;
-  typedef Application                   Superclass;
-  typedef itk::SmartPointer<Self>       Pointer;
-  typedef itk::SmartPointer<const Self> ConstPointer;
-
-  /** Standard macro */
-  itkNewMacro(Self);
-
-  itkTypeMacro(MaximumAutocorrelationFactor, otb::Wrapper::Application);
-
-private:
-  void DoInit()
-  {
-    SetName("MaximumAutocorrelationFactor");
-    SetDescription("Perform a Maximum Auto-correlation Factor (MAF) decomposition of the input image.");
-    SetDocName("Maximum Auto-correlation Factor Decomposition");
-    SetDocLongDescription("Maximum Autocorrelation Factor can be considered as a spatial extension of the PCA, in which new variates try to maximize auto-correlation between neighboring pixels instead of variance.");
-    SetDocLimitations("Though the inverse transform can be computed, this application only provides the forward transform for now.");
-    SetDocAuthors("OTB-Team");
-    SetDocSeeAlso("\"Kernel maximum autocorrelation factor and minimum noise fraction transformations,\" IEEE Transactions on Image Processing, vol. 20, no. 3, pp. 612-624, (2011)");
-   
-    AddDocTag(Tags::DimensionReduction);
-    AddDocTag(Tags::Filter);
-
-    AddParameter(ParameterType_InputImage,  "in", "Input Image");
-    SetParameterDescription("in","The input image to apply MAF decomposition on.");
-    AddParameter(ParameterType_OutputImage, "out", "MAF output");
-    SetParameterDescription("out","MAF decomposition of the input image. Components are ordered by decreasing eigenvalues.");
-
-    // Doc example parameter settings
-    SetDocExampleParameterValue("in", "cupriteSubHsi.tif");
-    SetDocExampleParameterValue("out", "MaximumAutocorrelationFactorImageFilterOutput.tif");
-  }
-
-  void DoUpdateParameters()
-  {
-  }
-
-  void DoExecute()
-  {
-    typedef otb::MaximumAutocorrelationFactorImageFilter<
-        FloatVectorImageType,
-        FloatVectorImageType> MAFFilterType;
-
-    MAFFilterType::Pointer changeFilter = MAFFilterType::New();
-
-    changeFilter->SetInput(GetParameterImage("in"));
-    m_Ref = changeFilter;
-
-    SetParameterOutputImage("out", changeFilter->GetOutput());
-  }
-
-  itk::LightObject::Pointer m_Ref;
-
-};
-
-}
-}
-
-OTB_APPLICATION_EXPORT(otb::Wrapper::MaximumAutocorrelationFactor)