STYLE

Code/BasicFilters/otbAngularProjectionBinaryImageFilter.h

@@ -27,12 +27,12 @@ namespace otb {
 /** \class AngularProjectionBinaryImageFilter
  * \brief Performs \f$ y_i = \cos \theta_i x_1 + \sin \theta_i x_2\f$
  *
- * This class performs the projections of the 2 input images to a set of N 
+ * This class performs the projections of the 2 input images to a set of N
  * output images according to N angular values
  *
  */
 template < class TInputImage, class TOutputImage, class TPrecision >
-class ITK_EXPORT AngularProjectionBinaryImageFilter 
+class ITK_EXPORT AngularProjectionBinaryImageFilter
   : public itk::ImageToImageFilter< TInputImage, TOutputImage >
 {
 public:

Code/BasicFilters/otbAngularProjectionBinaryImageFilter.txx

@@ -38,7 +38,7 @@ void
 AngularProjectionBinaryImageFilter< TInputImage, TOutputImage, TPrecision >
 ::SetInput1 ( const InputImageType * inputPtr )
 {
-  this->SetNthInput(0,const_cast<InputImageType*>( inputPtr ));
+  this->SetNthInput(0, const_cast<InputImageType*>( inputPtr ));
 }
 
 template < class TInputImage, class TOutputImage, class TPrecision >
@@ -46,7 +46,7 @@ void
 AngularProjectionBinaryImageFilter< TInputImage, TOutputImage, TPrecision >
 ::SetInput2 ( const InputImageType * inputPtr )
 {
-  this->SetNthInput(1,const_cast<InputImageType*>( inputPtr ));
+  this->SetNthInput(1, const_cast<InputImageType*>( inputPtr ));
 }
 
 template < class TInputImage, class TOutputImage, class TPrecision >
@@ -105,7 +105,7 @@ AngularProjectionBinaryImageFilter< TInputImage, TOutputImage, TPrecision >
 template < class TInputImage, class TOutputImage, class TPrecision >
 void
 AngularProjectionBinaryImageFilter< TInputImage, TOutputImage, TPrecision >
-::ThreadedGenerateData 
+::ThreadedGenerateData
   ( const OutputImageRegionType & outputRegionForThread, int threadId )
 {
   itk::ProgressReporter reporter(this, threadId,
@@ -122,11 +122,11 @@ AngularProjectionBinaryImageFilter< TInputImage, TOutputImage, TPrecision >
     ( this->GetInput2(), inputRegionForThread );
   iter2.GoToBegin();
 
-  std::vector< itk::ImageRegionIterator<OutputImageType> > outIter 
-    ( this->GetNumberOfOutputs() ); 
+  std::vector< itk::ImageRegionIterator<OutputImageType> > outIter
+    ( this->GetNumberOfOutputs() );
   for ( unsigned int i = 0; i < outIter.size(); i++ )
   {
-    outIter[i] = itk::ImageRegionIterator<OutputImageType> 
+    outIter[i] = itk::ImageRegionIterator<OutputImageType>
                   ( this->GetOutput(i), outputRegionForThread );
     outIter[i].GoToBegin();
   }
@@ -147,7 +147,7 @@ AngularProjectionBinaryImageFilter< TInputImage, TOutputImage, TPrecision >
   }
 }
 
-} // end of namespace otb 
+} // end of namespace otb
 
 #endif
 

Code/BasicFilters/otbBinaryFunctorImageListToSampleListFilter.h

@@ -31,11 +31,11 @@ namespace otb {
  * \brief Generate join sample from 2 set of ImageList
  *
  * This class transform the initial data contained in 2 imageList to
- * yield a set of join sample \f$(x_i,y_i)\f$ or a set of parameters
+ * yield a set of join sample \f$(x_i, y_i)\f$ or a set of parameters
  * extracted from the 2 image lists.
  *
- * The Function gives the possibility to select some of the samples only 
- * and to transform the output data. Hence, the functor should have also a IsToGenerate 
+ * The Function gives the possibility to select some of the samples only
+ * and to transform the output data. Hence, the functor should have also a IsToGenerate
  * boolean function...
  *
  * This filter provides pipeline support for itk::Statistics::ListSample via
@@ -140,7 +140,7 @@ private:
   void operator=(const Self &); // not implemeted
 
   FunctorType m_Functor;
-}; // end of class 
+}; // end of class
 
 } // end of namespace otb
 
@@ -148,5 +148,5 @@ private:
 #include "otbBinaryFunctorImageListToSampleListFilter.txx"
 #endif
 
-#endif 
+#endif
 

Code/BasicFilters/otbBinaryFunctorImageListToSampleListFilter.txx

@@ -54,7 +54,7 @@ typename BinaryFunctorImageListToSampleListFilter< TInputImageList, TOutputSampl
 BinaryFunctorImageListToSampleListFilter< TInputImageList, TOutputSampleList, TFunction >
 ::GetOutputSampleList()
 {
-  typename OutputSampleListObjectType::Pointer dataObjectPointer 
+  typename OutputSampleListObjectType::Pointer dataObjectPointer
     = static_cast<OutputSampleListObjectType * > (this->ProcessObject::GetOutput(0) );
   return const_cast<OutputSampleListType *>(dataObjectPointer->Get());
 }
@@ -142,7 +142,7 @@ BinaryFunctorImageListToSampleListFilter< TInputImageList, TOutputSampleList, TF
   // Set-up progress reporting
   itk::ProgressReporter progress(this, 0, list1->Size());
 
-  while ( listIterator1 != list1->End() 
+  while ( listIterator1 != list1->End()
           && listIterator2 != list2->End() )
   {
     InputImageType * img1 = listIterator1.Get();
@@ -177,4 +177,3 @@ BinaryFunctorImageListToSampleListFilter< TInputImageList, TOutputSampleList, TF
 
 
 
-

Code/BasicFilters/otbFastICAInternalOptimizerVectorImageFilter.h

@@ -23,7 +23,7 @@
 #include "otbMatrixImageFilter.h"
 #include "otbStreamingStatisticsVectorImageFilter.h"
 
-namespace otb 
+namespace otb
 {
 /** \class FastICAInternalOptimizerVectorImageFilter
  * \brief Internal optimisation of the FastICA unmixing filter
@@ -31,7 +31,7 @@ namespace otb
  * This class implements the internal search for the unmixing matrix W
  * in the FastICA technique.
  *
- * The class takes 2 inputs (initial image and its projection with the W matrix). 
+ * The class takes 2 inputs (initial image and its projection with the W matrix).
  *
  * \ingroup Multithreaded
  * \sa FastICAImageFilter
@@ -80,15 +80,15 @@ public:
 
   typedef double (*ContrastFunctionType) ( double );
 
-  itkSetMacro(CurrentBandForLoop,unsigned int);
-  itkGetMacro(CurrentBandForLoop,unsigned int);
+  itkSetMacro(CurrentBandForLoop, unsigned int);
+  itkGetMacro(CurrentBandForLoop, unsigned int);
 
-  itkGetMacro(W,InternalMatrixType);
-  itkSetMacro(W,InternalMatrixType);
+  itkGetMacro(W, InternalMatrixType);
+  itkSetMacro(W, InternalMatrixType);
 
-  itkSetMacro(ContrastFunction,ContrastFunctionType);
-  itkGetMacro(Beta,double);
-  itkGetMacro(Den,double);
+  itkSetMacro(ContrastFunction, ContrastFunctionType);
+  itkGetMacro(Beta, double);
+  itkGetMacro(Den, double);
 
 protected:
   FastICAInternalOptimizerVectorImageFilter();

Code/BasicFilters/otbFastICAInternalOptimizerVectorImageFilter.txx

@@ -79,7 +79,7 @@ FastICAInternalOptimizerVectorImageFilter< TInputImage, TOutputImage >
   InputRegionType inputRegion;
   this->CallCopyOutputRegionToInputRegion( inputRegion, outputRegionForThread );
 
-  itk::ImageRegionConstIterator< InputImageType > input0It 
+  itk::ImageRegionConstIterator< InputImageType > input0It
     ( this->GetInput(0), inputRegion );
   itk::ImageRegionConstIterator< InputImageType > input1It
     ( this->GetInput(1), inputRegion );
@@ -148,4 +148,3 @@ FastICAInternalOptimizerVectorImageFilter< TInputImage, TOutputImage >
 #endif
 
 
-

Code/BasicFilters/otbHorizontalSobelVectorImageFilter.h

@@ -58,15 +58,15 @@ public:
 template < class TInputImage, class TOutputImage >
 class ITK_EXPORT HorizontalSobelVectorImageFilter
   : public UnaryFunctorNeighborhoodVectorImageFilter< TInputImage, TOutputImage,
-            Functor::HorizontalSobelOperator< 
+            Functor::HorizontalSobelOperator<
               typename itk::ConstNeighborhoodIterator<TInputImage>,
-              typename TOutputImage::PixelType > > 
+              typename TOutputImage::PixelType > >
 {
 public:
   /** Standart class typedefs */
   typedef HorizontalSobelVectorImageFilter Self;
   typedef UnaryFunctorNeighborhoodVectorImageFilter< TInputImage, TOutputImage,
-            Functor::HorizontalSobelOperator< 
+            Functor::HorizontalSobelOperator<
               typename itk::ConstNeighborhoodIterator<TInputImage>,
               typename TOutputImage::PixelType > >  Superclass;
   typedef itk::SmartPointer<Self> Pointer;
@@ -81,7 +81,7 @@ public:
 protected:
   HorizontalSobelVectorImageFilter()
   {
-    typename Superclass::RadiusType radius = {{1,1}};
+    typename Superclass::RadiusType radius = {{1, 1}};
     SetRadius( radius );
   }
   virtual ~HorizontalSobelVectorImageFilter() { }

Code/BasicFilters/otbLocalActivityVectorImageFilter.h

@@ -47,14 +47,14 @@ public:
     unsigned int neighborSize = input.Size();
     unsigned int vectorSize = centerPixel.Size();
 
-    if ( neighborSize == 1 )  
+    if ( neighborSize == 1 )
       return centerPixel;
 
     TOutput output ( vectorSize );
 
     for ( unsigned int i = 0; i < vectorSize; i++ )
     {
-      typename TOutput::ValueType out 
+      typename TOutput::ValueType out
           = itk::NumericTraits< typename TOutput::ValueType >::Zero;
       for ( unsigned int j = 0; j < neighborSize/2; j++ )
       {
@@ -80,15 +80,15 @@ public:
 template < class TInputImage, class TOutputImage >
 class ITK_EXPORT LocalActivityVectorImageFilter
   : public UnaryFunctorNeighborhoodVectorImageFilter< TInputImage, TOutputImage,
-            Functor::LocalActivityOperator< 
+            Functor::LocalActivityOperator<
               typename itk::ConstNeighborhoodIterator<TInputImage>,
-              typename TOutputImage::PixelType > > 
+              typename TOutputImage::PixelType > >
 {
 public:
   /** Standart class typedefs */
   typedef LocalActivityVectorImageFilter Self;
   typedef UnaryFunctorNeighborhoodVectorImageFilter< TInputImage, TOutputImage,
-            Functor::LocalActivityOperator< 
+            Functor::LocalActivityOperator<
               typename itk::ConstNeighborhoodIterator<TInputImage>,
               typename TOutputImage::PixelType > >  Superclass;
   typedef itk::SmartPointer<Self> Pointer;

Code/BasicFilters/otbLocalGradientVectorImageFilter.h

@@ -47,7 +47,7 @@ public:
     for ( unsigned int i = 0; i < length; i++ )
     {
       output[i] = static_cast<typename TOutput::ValueType>(
-                  input.GetCenterPixel()[i] 
+                  input.GetCenterPixel()[i]
                   - input.GetPixel(5)[i] / 2.
                   - input.GetPixel(7)[i] / 2. );
     }
@@ -63,15 +63,15 @@ public:
 template < class TInputImage, class TOutputImage >
 class ITK_EXPORT LocalGradientVectorImageFilter
   : public UnaryFunctorNeighborhoodVectorImageFilter< TInputImage, TOutputImage,
-            Functor::LocalGradientOperator< 
+            Functor::LocalGradientOperator<
               typename itk::ConstNeighborhoodIterator<TInputImage>,
-              typename TOutputImage::PixelType > > 
+              typename TOutputImage::PixelType > >
 {
 public:
   /** Standart class typedefs */
   typedef LocalGradientVectorImageFilter Self;
   typedef UnaryFunctorNeighborhoodVectorImageFilter< TInputImage, TOutputImage,
-            Functor::LocalGradientOperator< 
+            Functor::LocalGradientOperator<
               typename itk::ConstNeighborhoodIterator<TInputImage>,
               typename TOutputImage::PixelType > >  Superclass;
   typedef itk::SmartPointer<Self> Pointer;
@@ -84,10 +84,10 @@ public:
   itkTypeMacro(LocalGradientVectorImageFilter, ImageToImageFilter);
 
 protected:
-  LocalGradientVectorImageFilter() 
+  LocalGradientVectorImageFilter()
   {
-    typename Superclass::RadiusType radius = {{1,1}};
-    SetRadius( radius );  
+    typename Superclass::RadiusType radius = {{1, 1}};
+    SetRadius( radius );
   }
   virtual ~LocalGradientVectorImageFilter() { }
 

Code/BasicFilters/otbMNFImageFilter.h

@@ -31,7 +31,7 @@ namespace otb {
 /** \class MNFImageFilter
  * \brief Performs a Minimum Noise Fraction analysis of a vector image.
  *
- * The internal structure of this filter is a filter-to-filter like structure. 
+ * The internal structure of this filter is a filter-to-filter like structure.
  * The estimation of the covariance matrix has persistent capabilities...
  *
  * The high pass filter which has to be used for the noise estimation is templated
@@ -42,10 +42,10 @@ namespace otb {
  * \sa otbStreamingStatisticsVectorImageFilter
  * \sa PCAImageFiler
  */
-template <class TInputImage, class TOutputImage, 
-            class TNoiseImageFilter, 
+template <class TInputImage, class TOutputImage,
+            class TNoiseImageFilter,
             Transform::TransformDirection TDirectionOfTransformation >
-class ITK_EXPORT MNFImageFilter 
+class ITK_EXPORT MNFImageFilter
   : public itk::ImageToImageFilter<TInputImage, TOutputImage>
 {
 public:
@@ -66,7 +66,7 @@ public:
   itkStaticConstMacro(OutputImageDimension, unsigned int, TOutputImage::ImageDimension);
 
   typedef Transform::TransformDirection TransformDirectionEnumType;
-  itkStaticConstMacro(DirectionOfTransformation,TransformDirectionEnumType,TDirectionOfTransformation);
+  itkStaticConstMacro(DirectionOfTransformation, TransformDirectionEnumType, TDirectionOfTransformation);
 
   /** Template parameters typedefs */
   typedef TInputImage  InputImageType;
@@ -92,30 +92,30 @@ public:
   typedef NormalizeVectorImageFilter< InputImageType, OutputImageType > NormalizeFilterType;
   typedef typename NormalizeFilterType::Pointer NormalizeFilterPointerType;
 
-  /** 
-   * Set/Get the number of required largest principal components. 
+  /**
+   * Set/Get the number of required largest principal components.
    */
-  itkGetMacro(NumberOfPrincipalComponentsRequired,unsigned int);
-  itkSetMacro(NumberOfPrincipalComponentsRequired,unsigned int);
+  itkGetMacro(NumberOfPrincipalComponentsRequired, unsigned int);
+  itkSetMacro(NumberOfPrincipalComponentsRequired, unsigned int);
 
-  itkGetConstMacro(Normalizer,NormalizeFilterType*);
-  itkGetMacro(Normalizer,NormalizeFilterType*);
+  itkGetConstMacro(Normalizer, NormalizeFilterType*);
+  itkGetMacro(Normalizer, NormalizeFilterType*);
   itkGetMacro(NoiseCovarianceEstimator, CovarianceEstimatorFilterType *);
   itkGetMacro(Transformer, TransformFilterType *);
   itkGetMacro(NoiseImageFilter, NoiseImageFilterType *);
 
   /** Normalization only impact the use of variance. The data is always centered */
-  itkGetMacro(UseNormalization,bool);
-  itkSetMacro(UseNormalization,bool);
+  itkGetMacro(UseNormalization, bool);
+  itkSetMacro(UseNormalization, bool);
 
-  itkGetConstMacro(MeanValues,VectorType);
+  itkGetConstMacro(MeanValues, VectorType);
   void SetMeanValues ( const VectorType & vec )
   {
     m_MeanValues = vec;
     m_GivenMeanValues = true;
   }
 
-  itkGetConstMacro(StdDevValues,VectorType);
+  itkGetConstMacro(StdDevValues, VectorType);
   void SetStdDevValues ( const VectorType & vec )
   {
     m_StdDevValues = vec;
@@ -123,7 +123,7 @@ public:
     m_GivenStdDevValues = true;
   }
 
-  itkGetConstMacro(CovarianceMatrix,MatrixType);
+  itkGetConstMacro(CovarianceMatrix, MatrixType);
   void SetCovarianceMatrix ( const MatrixType & cov )
   {
     m_CovarianceMatrix = cov;
@@ -137,7 +137,7 @@ public:
     m_GivenNoiseCovarianceMatrix = true;
   }
 
-  itkGetConstMacro(TransformationMatrix,MatrixType);
+  itkGetConstMacro(TransformationMatrix, MatrixType);
   void SetTransformationMatrix( const MatrixType & transf, bool isForward = true )
   {
     m_TransformationMatrix = transf;
@@ -145,17 +145,17 @@ public:
     m_IsTransformationMatrixForward = isForward;
   }
 
-  itkGetConstMacro(EigenValues,VectorType);
+  itkGetConstMacro(EigenValues, VectorType);
 
 protected:
   MNFImageFilter();
   virtual ~MNFImageFilter() { }
 
   /** GenerateOutputInformation
-   * Propagate vector length info and modify if needed 
+   * Propagate vector length info and modify if needed
    * NumberOfPrincipalComponentsRequired
    *
-   * In REVERSE mode, the covariance matrix or the transformation matrix 
+   * In REVERSE mode, the covariance matrix or the transformation matrix
    * (which may not be square) has to be given,
    * otherwize, GenerateOutputInformation throws an itk::ExceptionObject
    */
@@ -215,4 +215,3 @@ private:
 #endif
 
 
-

Code/BasicFilters/otbMNFImageFilter.txx

@@ -28,8 +28,8 @@
 
 namespace otb
 {
-template <class TInputImage, class TOutputImage, 
-            class TNoiseImageFilter, 
+template <class TInputImage, class TOutputImage,
+            class TNoiseImageFilter,
             Transform::TransformDirection TDirectionOfTransformation >
 MNFImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransformation >
 ::MNFImageFilter ()
@@ -55,8 +55,8 @@ MNFImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransf
   m_Transformer->MatrixByVectorOn();
 }
 
-template <class TInputImage, class TOutputImage, 
-            class TNoiseImageFilter, 
+template <class TInputImage, class TOutputImage,
+            class TNoiseImageFilter,
             Transform::TransformDirection TDirectionOfTransformation >
 void
 MNFImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransformation >
@@ -69,11 +69,11 @@ MNFImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransf
   {
     case Transform::FORWARD:
     {
-      if ( m_NumberOfPrincipalComponentsRequired == 0 
-          || m_NumberOfPrincipalComponentsRequired 
+      if ( m_NumberOfPrincipalComponentsRequired == 0
+          || m_NumberOfPrincipalComponentsRequired
             > this->GetInput()->GetNumberOfComponentsPerPixel() )
       {
-        m_NumberOfPrincipalComponentsRequired = 
+        m_NumberOfPrincipalComponentsRequired =
           this->GetInput()->GetNumberOfComponentsPerPixel();
       }
 
@@ -113,8 +113,8 @@ MNFImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransf
   }
 }
 
-template <class TInputImage, class TOutputImage, 
-            class TNoiseImageFilter, 
+template <class TInputImage, class TOutputImage,
+            class TNoiseImageFilter,
             Transform::TransformDirection TDirectionOfTransformation >
 void
 MNFImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransformation >
@@ -133,14 +133,14 @@ MNFImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransf
   }
 }
 
-template <class TInputImage, class TOutputImage, 
-            class TNoiseImageFilter, 
+template <class TInputImage, class TOutputImage,
+            class TNoiseImageFilter,
             Transform::TransformDirection TDirectionOfTransformation >
 void
 MNFImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransformation >
 ::ForwardGenerateData ()
 {
-  typename InputImageType::Pointer inputImgPtr 
+  typename InputImageType::Pointer inputImgPtr
     = const_cast<InputImageType*>( this->GetInput() );
 
   if ( m_GivenMeanValues )
@@ -218,8 +218,8 @@ MNFImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransf
 
 }
 
-template <class TInputImage, class TOutputImage, 
-            class TNoiseImageFilter, 
+template <class TInputImage, class TOutputImage,
+            class TNoiseImageFilter,
             Transform::TransformDirection TDirectionOfTransformation >
 void
 MNFImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransformation >
@@ -308,7 +308,7 @@ MNFImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransf
   {
     VectorType revMean ( m_MeanValues.Size() );
     for ( unsigned int i = 0; i < m_MeanValues.Size(); i++ )
-      revMean[i] = - m_MeanValues[i] ;
+      revMean[i] = - m_MeanValues[i];
     m_Normalizer->SetMean( revMean );
     m_Normalizer->SetUseStdDev( false );
   }
@@ -320,8 +320,8 @@ MNFImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransf
   this->GraftOutput( m_Normalizer->GetOutput() );
 }
 
-template <class TInputImage, class TOutputImage, 
-            class TNoiseImageFilter, 
+template <class TInputImage, class TOutputImage,
+            class TNoiseImageFilter,
             Transform::TransformDirection TDirectionOfTransformation >
 void
 MNFImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransformation >
@@ -340,14 +340,14 @@ MNFImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransf
 
   for ( unsigned int i = 0; i < transf.rows(); i++ )
   {
-    double norm = 1. / vcl_sqrt( normMat.get(i,i) );
+    double norm = 1. / vcl_sqrt( normMat.get(i, i) );
     for ( unsigned int j = 0; j < transf.cols(); j++ )
-      transf.put( j, i, transf.get(j,i) * norm );
+      transf.put( j, i, transf.get(j, i) * norm );
   }
 
   transf.inplace_transpose();
 
-  if ( m_NumberOfPrincipalComponentsRequired 
+  if ( m_NumberOfPrincipalComponentsRequired
       != this->GetInput()->GetNumberOfComponentsPerPixel() )
     m_TransformationMatrix = transf.get_n_rows( 0, m_NumberOfPrincipalComponentsRequired );
   else
@@ -355,11 +355,11 @@ MNFImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransf
 
   m_EigenValues.SetSize( m_NumberOfPrincipalComponentsRequired );
   for ( unsigned int i = 0; i < m_NumberOfPrincipalComponentsRequired; i++ )
-    m_EigenValues[i] = static_cast< RealType >( valP(i,i) );
+    m_EigenValues[i] = static_cast< RealType >( valP(i, i) );
 }
 
-template <class TInputImage, class TOutputImage, 
-            class TNoiseImageFilter, 
+template <class TInputImage, class TOutputImage,
+            class TNoiseImageFilter,
             Transform::TransformDirection TDirectionOfTransformation >
 void
 MNFImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransformation >

Code/BasicFilters/otbMatrixImageFilter.h

@@ -32,7 +32,7 @@ namespace otb
  * The awaited type must be compatible with vnl_matrix<double>
  *
  * The multiplication can be done as  \f$ p . M \f$ or  \f$ M . p \f$ where  \f$ p \f$ is the pixel and  \f$ M \f$ is the vector.
- * The behavior can be chosen with 
+ * The behavior can be chosen with
  *
  * The number of rows of the matrix must be the input image number of channels, the number of columns is the number of channels of the output image.
  *
@@ -132,7 +132,7 @@ private:
   /** Matrix declaration */
   MatrixType m_Matrix;
 
-  /** If set to true, the applied operation is \f$ M . p \f$ where p is the pixel represented as a column vector. 
+  /** If set to true, the applied operation is \f$ M . p \f$ where p is the pixel represented as a column vector.
       Otherwise the applied operation is  \f$ p . M \f$ where p is the pixel represented as a row vector.
   */
   bool m_MatrixByVector;

Code/BasicFilters/otbNAPCAImageFilter.h

@@ -25,13 +25,13 @@ namespace otb {
 /** \class NAPCAImageFilter
  * \brief Performs a Noise Adjusted PCA analysis of a vector image.
  *
- * The internal structure of this filter is a filter-to-filter like structure. 
+ * The internal structure of this filter is a filter-to-filter like structure.
  * The estimation of the covariance matrix has persistent capabilities...
  *
  * The high pass filter which has to be used for the noise estimation is templated
  * for a better scalability...
  *
- * This class is very similar to the MNFImageFilter one since only the projection 
+ * This class is very similar to the MNFImageFilter one since only the projection
  * matrix definition (through GenerateTransformationMatrix function)
  * differs.
  *
@@ -40,15 +40,15 @@ namespace otb {
  * \sa otbStreamingStatisticsVectorImageFilter
  * \sa MNFImageFilter
  */
-template <class TInputImage, class TOutputImage, 
-            class TNoiseImageFilter, 
+template <class TInputImage, class TOutputImage,
+            class TNoiseImageFilter,
             Transform::TransformDirection TDirectionOfTransformation >
-class ITK_EXPORT NAPCAImageFilter 
+class ITK_EXPORT NAPCAImageFilter
   : public MNFImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransformation >
 {
 public:
   typedef NAPCAImageFilter Self;
-  typedef MNFImageFilter< TInputImage, TOutputImage, 
+  typedef MNFImageFilter< TInputImage, TOutputImage,
             TNoiseImageFilter, TDirectionOfTransformation > Superclass;
   typedef itk::SmartPointer<Self>                            Pointer;
   typedef itk::SmartPointer<const Self>                      ConstPointer;
@@ -57,7 +57,7 @@ public:
   itkNewMacro(Self);
 
   /** Creation through object factory macro */
-  itkTypeMacro(NAPCAImageFilter,MNFImageFilter);
+  itkTypeMacro(NAPCAImageFilter, MNFImageFilter);
 
   /** Template parameters typedefs */
   typedef typename Superclass::InputImageType InputImageType;

Code/BasicFilters/otbNAPCAImageFilter.txx

@@ -25,11 +25,11 @@
 #include <vnl/algo/vnl_matrix_inverse.h>
 #include <vnl/algo/vnl_generalized_eigensystem.h>
 
-namespace otb 
+namespace otb
 {
 
-template <class TInputImage, class TOutputImage, 
-            class TNoiseImageFilter, 
+template <class TInputImage, class TOutputImage,
+            class TNoiseImageFilter,
             Transform::TransformDirection TDirectionOfTransformation >
 void
 NAPCAImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransformation >
@@ -52,7 +52,7 @@ NAPCAImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTran
   transf.fliplr();
   transf.inplace_transpose();
 
-  if ( this->GetNumberOfPrincipalComponentsRequired() 
+  if ( this->GetNumberOfPrincipalComponentsRequired()
       != this->GetInput()->GetNumberOfComponentsPerPixel() )
     this->m_TransformationMatrix = transf.get_n_rows( 0, this->GetNumberOfPrincipalComponentsRequired() );
   else
@@ -60,7 +60,7 @@ NAPCAImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTran
 
   this->m_EigenValues.SetSize( this->GetNumberOfPrincipalComponentsRequired() );
   for ( unsigned int i = 0; i < this->GetNumberOfPrincipalComponentsRequired(); i++ )
-    this->m_EigenValues[this->GetNumberOfPrincipalComponentsRequired()-1-i] 
+    this->m_EigenValues[this->GetNumberOfPrincipalComponentsRequired()-1-i]
       = static_cast< RealType >( vectValPadj[i] );
 }
 

Code/BasicFilters/otbNormalizeVectorImageFilter.h

@@ -28,7 +28,7 @@
 
 #include <otbStreamingStatisticsVectorImageFilter.h>