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otb
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dfdc55f0
Commit
dfdc55f0
authored
Feb 09, 2015
by
Julien Malik
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Examples/ChangeDetection/otbMultivariateAlterationDetectorExample.cxx
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/*=========================================================================
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 "otbVectorImage.h"
#include "otbImageFileReader.h"
#include "otbImageFileWriter.h"
#include "otbPrintableImageFilter.h"
// Software Guide : BeginCommandLineArgs
// INPUTS: {Spot5-Gloucester-before.tif}, {Spot5-Gloucester-after.tif}
// OUTPUTS: {MADOutput.tif}, {mad-input1.png}, {mad-input2.png}, {mad-output.png}
//
// Software Guide : EndCommandLineArgs
// Software Guide : BeginLatex
// This example illustrates the class
// \doxygen{otb}{MultivariateAlterationChangeDetectorImageFilter},
// which implements the Multivariate Alteration Change Detector
// algorithm (TODO: Add citation). This algorihtm allows to perform
// change detection from a pair multi-band images, including images
// with different number of bands or modalities. Its output is a a
// multi-band image of change maps, each one being unccorrelated with
// the remaining. The number of bands of the output image is the
// minimum number of bands between the two input images.
//
// The algorithm works as follows. It tries to find two linear
// combinations of bands (one for each input images) which maximize
// correlation, and subtract these two linear combinitation, leading
// to the first change map. Then, it looks for a second set of linear
// combinations which are orthogonal to the first ones, a which
// maximize correlation, and use it as the second change map. This
// process is iterated until no more orthogonal linear combinations
// can be found.
//
// This algorithms has numerous advantages, such as radiometry scaling
// and shifting invariance and absence of parameters, but it can not
// be used on a pair of single band images (in this case the output is
// simply the difference between the two images).
//
// We start by including the corresponding header file.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
#include "otbMultivariateAlterationDetectorImageFilter.h"
// Software Guide : EndCodeSnippet
int
main
(
int
argc
,
char
*
argv
[])
{
if
(
argc
<
6
)
{
std
::
cerr
<<
"Usage: "
<<
std
::
endl
;
std
::
cerr
<<
argv
[
0
]
<<
" inputImageFile1 inputImageFile2 outIn1Pretty outIn2Pretty outPretty"
<<
"outputImageFile"
<<
std
::
endl
;
return
-
1
;
}
// Define the dimension of the images
const
unsigned
int
Dimension
=
2
;
// Software Guide : BeginLatex
// We then define the types for the input images, of the
// change image and of the image to be stored in a file for visualization.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef
unsigned
short
InputPixelType
;
typedef
float
OutputPixelType
;
typedef
otb
::
VectorImage
<
InputPixelType
,
Dimension
>
InputImageType
;
typedef
otb
::
VectorImage
<
OutputPixelType
,
Dimension
>
OutputImageType
;
// Software Guide : EndCodeSnippet
// 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
// streaming. For this purpose, the file writer will be
// streamed. This is achieved by using the
// \doxygen{otb}{ImageFileWriter} class.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef
otb
::
ImageFileReader
<
InputImageType
>
ReaderType
;
typedef
otb
::
ImageFileWriter
<
OutputImageType
>
WriterType
;
// Software Guide : EndCodeSnippet
// This is for rendering in software guide
typedef
otb
::
PrintableImageFilter
<
InputImageType
,
InputImageType
>
InputPrintFilterType
;
typedef
otb
::
PrintableImageFilter
<
OutputImageType
,
OutputImageType
>
OutputPrintFilterType
;
typedef
InputPrintFilterType
::
OutputImageType
VisuImageType
;
typedef
otb
::
ImageFileWriter
<
VisuImageType
>
VisuWriterType
;
// The \doxygen{otb}{MultivariateAlterationDetectorImageFilter} is templated over
// the type of the input images and the type of the generated change
// image.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef
otb
::
MultivariateAlterationDetectorImageFilter
<
InputImageType
,
OutputImageType
>
MADFilterType
;
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// The different elements of the pipeline can now be instantiated.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
ReaderType
::
Pointer
reader1
=
ReaderType
::
New
();
ReaderType
::
Pointer
reader2
=
ReaderType
::
New
();
WriterType
::
Pointer
writer
=
WriterType
::
New
();
MADFilterType
::
Pointer
madFilter
=
MADFilterType
::
New
();
// Software Guide : EndCodeSnippet
const
char
*
inputFilename1
=
argv
[
1
];
const
char
*
inputFilename2
=
argv
[
2
];
const
char
*
outputFilename
=
argv
[
3
];
const
char
*
in1pretty
=
argv
[
4
];
const
char
*
in2pretty
=
argv
[
5
];
const
char
*
outpretty
=
argv
[
6
];
// Software Guide : BeginLatex
//
// We set the parameters of the different elements of the pipeline.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
reader1
->
SetFileName
(
inputFilename1
);
reader2
->
SetFileName
(
inputFilename2
);
writer
->
SetFileName
(
outputFilename
);
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// We build the pipeline by plugging all the elements together.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
madFilter
->
SetInput1
(
reader1
->
GetOutput
());
madFilter
->
SetInput2
(
reader2
->
GetOutput
());
writer
->
SetInput
(
madFilter
->
GetOutput
());
// Software Guide : EndCodeSnippet
try
{
// Software Guide : BeginLatex
//
// And then we can trigger the pipeline update, as usual.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
writer
->
Update
();
// Software Guide : EndCodeSnippet
}
catch
(
itk
::
ExceptionObject
&
err
)
{
std
::
cout
<<
"ExceptionObject caught !"
<<
std
::
endl
;
std
::
cout
<<
err
<<
std
::
endl
;
return
-
1
;
}
// Here we generate the figures
InputPrintFilterType
::
Pointer
input1PrintFilter
=
InputPrintFilterType
::
New
();
InputPrintFilterType
::
Pointer
input2PrintFilter
=
InputPrintFilterType
::
New
();
OutputPrintFilterType
::
Pointer
outputPrintFilter
=
OutputPrintFilterType
::
New
();
VisuWriterType
::
Pointer
input1VisuWriter
=
VisuWriterType
::
New
();
VisuWriterType
::
Pointer
input2VisuWriter
=
VisuWriterType
::
New
();
VisuWriterType
::
Pointer
outputVisuWriter
=
VisuWriterType
::
New
();
input1PrintFilter
->
SetInput
(
reader1
->
GetOutput
());
input1PrintFilter
->
SetChannel
(
3
);
input1PrintFilter
->
SetChannel
(
2
);
input1PrintFilter
->
SetChannel
(
1
);
input2PrintFilter
->
SetInput
(
reader2
->
GetOutput
());
input2PrintFilter
->
SetChannel
(
3
);
input2PrintFilter
->
SetChannel
(
2
);
input2PrintFilter
->
SetChannel
(
1
);
outputPrintFilter
->
SetInput
(
madFilter
->
GetOutput
());
outputPrintFilter
->
SetChannel
(
3
);
outputPrintFilter
->
SetChannel
(
2
);
outputPrintFilter
->
SetChannel
(
1
);
input1VisuWriter
->
SetInput
(
input1PrintFilter
->
GetOutput
());
input2VisuWriter
->
SetInput
(
input2PrintFilter
->
GetOutput
());
outputVisuWriter
->
SetInput
(
outputPrintFilter
->
GetOutput
());
input1VisuWriter
->
SetFileName
(
in1pretty
);
input2VisuWriter
->
SetFileName
(
in2pretty
);
outputVisuWriter
->
SetFileName
(
outpretty
);
input1VisuWriter
->
Update
();
input2VisuWriter
->
Update
();
outputVisuWriter
->
Update
();
// Software Guide : BeginLatex Figure \ref{fig:MADCHDET} shows the
// result of applying the Multivariate Alteration Detector to detect
// changes in a pair of SPOT5 images before and after a flooding
// event.
// \begin{figure} \center
// \includegraphics[width=0.32\textwidth]{mad-input1.png}
// \includegraphics[width=0.32\textwidth]{mad-input2.png}
// \includegraphics[width=0.32\textwidth]{mad-output.png}
// \itkcaption[CorrelationMultivariate Alteration Detection
// Results]{Result of the Multivariate Alteration Detector results on
// SPOT5 data before and after flooding.} \label{fig:RESCORRCHDET}
// \end{figure} Software Guide : EndLatex
return
EXIT_SUCCESS
;
}
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