Commit 42106414 authored by Jonathan Guinet's avatar Jonathan Guinet

DOC: Dimension reduction doc update.

parent 7293ab8e
......@@ -31,16 +31,16 @@
//
// This example illustrates the use of the
// \doxygen{otb}{FastICAImageFilter}.
// This filter computes a Fast Independant Components Analysis transform.
// This filter computes a Fast Independent Components Analysis transform.
//
// Like Principal Components Analysis, Independent Component Analysis
// \cite{jutten1991blind} computes a set of
// orthogonal linear combinations, but the criterion of Fast ICA is
// different: instead of maximizing variance, it tries to maximize
// stastistical independance between components.
// statistical independence between components.
//
// In the Fast ICA algorithm \cite{hyvarinen1999fast},
// statistical independance is mesured by evaluating non-Gaussianity
// statistical independence is measured by evaluating non-Gaussianity
// of the components, and the maximization is done in an iterative way.
// The first step required to use this filter is to include its header file.
......@@ -68,9 +68,9 @@ int main(int argc, char* argv[])
// Software Guide : BeginLatex
//
// We start by defining the types for the images and the reader and
// We start by defining the types for the images, the reader, and
// the writer. We choose to work with a \doxygen{otb}{VectorImage},
// since we will produce a multi-channel image (the principal
// since we will produce a multi-channel image (the independent
// components) from a multi-channel input image.
//
// Software Guide : EndLatex
......@@ -108,8 +108,8 @@ int main(int argc, char* argv[])
// Software Guide : BeginLatex
//
// We then set the number of principal
// components required as output. We can choose to get less PCs than
// We then set the number of independent
// components required as output. We can choose to get less ICs than
// the number of input bands.
//
// Software Guide : EndLatex
......@@ -194,7 +194,7 @@ int main(int argc, char* argv[])
// Software Guide : BeginLatex
// Figure~\ref{fig:FastICA_FILTER} shows the result of applying forward
// and reverse FastICA transformation to a 8 bands Wordlview2 image.
// and reverse FastICA transformation to a 8 bands Worldview2 image.
// \begin{figure}
// \center
// \includegraphics[width=0.32\textwidth]{FastICA-input-pretty.eps}
......
......@@ -81,7 +81,7 @@ int main(int argc, char* argv[])
// Software Guide : BeginLatex
//
// We start by defining the types for the images and the reader and
// We start by defining the types for the images, the reader, and
// the writer. We choose to work with a \doxygen{otb}{VectorImage},
// since we will produce a multi-channel image (the principal
// components) from a multi-channel input image.
......@@ -231,7 +231,7 @@ int main(int argc, char* argv[])
// Software Guide : BeginLatex
// Figure~\ref{fig:MNF_FILTER} shows the result of applying forward
// and reverse MNF transformation to a 8 bands Wordlview2 image.
// and reverse MNF transformation to a 8 bands Worldview2 image.
// \begin{figure}
// \center
// \includegraphics[width=0.32\textwidth]{MNF-input-pretty.eps}
......
......@@ -68,7 +68,7 @@ int main(int argc, char* argv[])
// Software Guide : BeginLatex
//
// We can now declare the types for the reader. Since the images
// can be vey large, we will force the pipeline to use
// can be very large, we will force the pipeline to use
// streaming. For this purpose, the file writer will be
// streamed. This is achieved by using the
// \doxygen{otb}{StreamingImageFileWriter} class.
......
......@@ -233,7 +233,7 @@ int main(int argc, char* argv[])
// Software Guide : BeginLatex
// Figure~\ref{fig:NAPCA_FILTER} shows the result of applying forward
// and reverse NA-PCA transformation to a 8 bands Wordlview2 image.
// and reverse NA-PCA transformation to a 8 bands Worldview2 image.
// \begin{figure}
// \center
// \includegraphics[width=0.32\textwidth]{napca-input-pretty.eps}
......
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