Commit f94c44eb authored by OTB Bot's avatar OTB Bot
Browse files

STYLE

parent ec03b4f0
...@@ -28,7 +28,7 @@ ...@@ -28,7 +28,7 @@
// //
// Software Guide : EndCommandLineArgs // Software Guide : EndCommandLineArgs
// Software Guide : BeginLatex // Software Guide : BeginLatex
// This example illustrates the class // This example illustrates the class
// \doxygen{otb}{MultivariateAlterationChangeDetectorImageFilter}, // \doxygen{otb}{MultivariateAlterationChangeDetectorImageFilter},
// which implements the Multivariate Alteration Change Detector // which implements the Multivariate Alteration Change Detector
......
...@@ -178,7 +178,7 @@ int main(int argc, char* argv[]) ...@@ -178,7 +178,7 @@ int main(int argc, char* argv[])
invFilter->SetMeanValues( FastICAfilter->GetMeanValues() ); invFilter->SetMeanValues( FastICAfilter->GetMeanValues() );
invFilter->SetStdDevValues( FastICAfilter->GetStdDevValues() ); invFilter->SetStdDevValues( FastICAfilter->GetStdDevValues() );
invFilter->SetTransformationMatrix( FastICAfilter->GetTransformationMatrix() ); invFilter->SetTransformationMatrix( FastICAfilter->GetTransformationMatrix() );
invFilter->SetPCATransformationMatrix( invFilter->SetPCATransformationMatrix(
FastICAfilter->GetPCATransformationMatrix() ); FastICAfilter->GetPCATransformationMatrix() );
invFilter->SetInput(FastICAfilter->GetOutput()); invFilter->SetInput(FastICAfilter->GetOutput());
......
...@@ -39,7 +39,7 @@ ...@@ -39,7 +39,7 @@
// Components Analysis transform. The first transform is based on an // Components Analysis transform. The first transform is based on an
// estimated covariance matrix of the noise, and intends to whiten the // estimated covariance matrix of the noise, and intends to whiten the
// input image (noise with unit variance and no correlation between // input image (noise with unit variance and no correlation between
// bands). // bands).
// //
// The second Principal Components Analysis is then applied to the // The second Principal Components Analysis is then applied to the
// noise-whitened image, giving the Minimum Noise Fraction transform. // noise-whitened image, giving the Minimum Noise Fraction transform.
...@@ -110,7 +110,7 @@ int main(int argc, char* argv[]) ...@@ -110,7 +110,7 @@ int main(int argc, char* argv[])
// //
// Software Guide : EndLatex // Software Guide : EndLatex
// SoftwareGuide : BeginCodeSnippet // SoftwareGuide : BeginCodeSnippet
typedef otb::LocalActivityVectorImageFilter<ImageType,ImageType> NoiseFilterType; typedef otb::LocalActivityVectorImageFilter<ImageType,ImageType> NoiseFilterType;
// SoftwareGuide : EndCodeSnippet // SoftwareGuide : EndCodeSnippet
......
...@@ -26,7 +26,7 @@ ...@@ -26,7 +26,7 @@
// //
// Software Guide : EndCommandLineArgs // Software Guide : EndCommandLineArgs
// Software Guide : BeginLatex // Software Guide : BeginLatex
// This example illustrates the class // This example illustrates the class
// \doxygen{otb}{MaximumAutocorrelationFactorImageFilter}, which // \doxygen{otb}{MaximumAutocorrelationFactorImageFilter}, which
// performs a Maximum Autocorrelation Factor transform \cite{nielsen2011kernel}. Like // performs a Maximum Autocorrelation Factor transform \cite{nielsen2011kernel}. Like
...@@ -36,7 +36,7 @@ ...@@ -36,7 +36,7 @@
// //
// Auto-correlation is the correlation between the component and a // Auto-correlation is the correlation between the component and a
// unitary shifted version of the component. // unitary shifted version of the component.
// //
// Please note that the inverse transform is not implemented yet. // Please note that the inverse transform is not implemented yet.
// //
// We start by including the corresponding header file. // We start by including the corresponding header file.
...@@ -166,17 +166,17 @@ int main(int argc, char* argv[]) ...@@ -166,17 +166,17 @@ int main(int argc, char* argv[])
inputVisuWriter->Update(); inputVisuWriter->Update();
outputVisuWriter->Update(); outputVisuWriter->Update();
// Software Guide : BeginLatex // Software Guide : BeginLatex
// Figure \ref{fig:MAFFIG} shows the // Figure \ref{fig:MAFFIG} shows the
// results of Maximum Autocorrelation Factor applied to an 8 bands // results of Maximum Autocorrelation Factor applied to an 8 bands
// Worldview2 image. // Worldview2 image.
// \begin{figure} // \begin{figure}
// \center \includegraphics[width=0.32\textwidth]{maf-input.eps} // \center \includegraphics[width=0.32\textwidth]{maf-input.eps}
// \includegraphics[width=0.32\textwidth]{maf-output.eps} // \includegraphics[width=0.32\textwidth]{maf-output.eps}
// \itkcaption[Maximum Autocorrelation Factor results]{Results of the // \itkcaption[Maximum Autocorrelation Factor results]{Results of the
// Maximum Autocorrelation Factor algorithm applied to a 8 bands // Maximum Autocorrelation Factor algorithm applied to a 8 bands
// Worldview2 image (3 first components).} \label{fig:MAFFIG} // Worldview2 image (3 first components).} \label{fig:MAFFIG}
// \end{figure} // \end{figure}
// Software Guide : EndLatex // Software Guide : EndLatex
return EXIT_SUCCESS; return EXIT_SUCCESS;
......
...@@ -99,7 +99,7 @@ int main(int argc, char* argv[]) ...@@ -99,7 +99,7 @@ int main(int argc, char* argv[])
// //
// Software Guide : EndLatex // Software Guide : EndLatex
// SoftwareGuide : BeginCodeSnippet // SoftwareGuide : BeginCodeSnippet
typedef otb::LocalActivityVectorImageFilter<ImageType,ImageType> NoiseFilterType; typedef otb::LocalActivityVectorImageFilter<ImageType,ImageType> NoiseFilterType;
// SoftwareGuide : EndCodeSnippet // SoftwareGuide : EndCodeSnippet
......
...@@ -86,7 +86,7 @@ int main(int argc, char * argv[]) ...@@ -86,7 +86,7 @@ int main(int argc, char * argv[])
// Labeled image type // Labeled image type
typedef unsigned short LabelType; typedef unsigned short LabelType;
typedef unsigned char MaskPixelType; typedef unsigned char MaskPixelType;
typedef double PixelType; typedef double PixelType;
typedef otb::Image<LabelType, Dimension> LabeledImageType; typedef otb::Image<LabelType, Dimension> LabeledImageType;
typedef otb::Image<MaskPixelType, Dimension> MaskImageType; typedef otb::Image<MaskPixelType, Dimension> MaskImageType;
......
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