QGIS/python/plugins/processing/algs/otb/description/5.0.0/doc/DimensionalityReduction-maf.html

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</head><body><h1>DimensionalityReduction</h1><h2>Brief Description</h2>Perform Dimension reduction of the input image.<h2>Tags</h2>Dimensionality Reduction,Image Filtering<h2>Long Description</h2>Performs dimensionality reduction on input image. PCA,NA-PCA,MAF,ICA methods are available. It is also possible to compute the inverse transform to reconstruct the image. It is also possible to optionnaly export the transformation matrix to a text file.<h2>Parameters</h2><ul><li><b>[param] -in</b> &lt;string&gt; The input image to apply dimensionality reduction.. Mandatory: True. Default Value: &quot;&quot;</li><li><b>[param] -out</b> &lt;string&gt; output image. Components are ordered by decreasing eigenvalues.. Mandatory: True. Default Value: &quot;&quot;</li><li><b>[param] -rescale</b> &lt;string&gt; . Mandatory: False. Default Value: &quot;0&quot;</li><li><b>[param] -outinv</b> &lt;string&gt; reconstruct output image.. Mandatory: False. Default Value: &quot;&quot;</li><li><b>[param] -nbcomp</b> &lt;int32&gt; Number of relevant components kept. By default all components are kept.. Mandatory: False. Default Value: &quot;0&quot;</li><li><b>[param] -normalize</b> &lt;boolean&gt; center AND reduce data before Dimensionality reduction.. Mandatory: False. Default Value: &quot;True&quot;</li><li><b>[param] -outmatrix</b> &lt;string&gt; Filename to store the transformation matrix (csv format). Mandatory: False. Default Value: &quot;&quot;</li><li><b>[param] -inxml</b> &lt;string&gt; Load otb application from xml file. Mandatory: False. Default Value: &quot;&quot;</li><li><b>[param] -outxml</b> &lt;string&gt; Save otb application to xml file. Mandatory: False. Default Value: &quot;&quot;</li><b>[choice] -method</b> Selection of the reduction dimension method. pca,napca,maf,ica. Mandatory: True. Default Value: &quot;pca&quot;<ul><li><b>[group] -pca</b></li><ul></ul><li><b>[group] -napca</b></li><ul><li><b>[param] -method.napca.radiusx</b> &lt;int32&gt; . Mandatory: True. Default Value: &quot;1&quot;</li><li><b>[param] -method.napca.radiusy</b> &lt;int32&gt; . Mandatory: True. Default Value: &quot;1&quot;</li></ul><li><b>[group] -maf</b></li><ul></ul><li><b>[group] -ica</b></li><ul><li><b>[param] -method.ica.iter</b> &lt;int32&gt; . Mandatory: False. Default Value: &quot;20&quot;</li><li><b>[param] -method.ica.mu</b> &lt;float&gt; . Mandatory: False. Default Value: &quot;1&quot;</li></ul></ul></ul><h2>Limitations</h2>This application does not provide the inverse transform and the transformation matrix export for the MAF.<h2>Authors</h2>OTB-Team<h2>See Also</h2>"Kernel maximum autocorrelation factor and minimum noise fraction transformations," IEEE Transactions on Image Processing, vol. 20, no. 3, pp. 612-624, (2011)<h2>Example of use</h2><ul><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">in: cupriteSubHsi.tif</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">out: FilterOutput.tif</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">method: pca</p></li></ul></body></html>
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[processing/otb]update xml and associated html docs 2015-07-03 14:45:26 +02:00			</head><body><h1>DimensionalityReduction</h1><h2>Brief Description</h2>Perform Dimension reduction of the input image.<h2>Tags</h2>Dimensionality Reduction,Image Filtering<h2>Long Description</h2>Performs dimensionality reduction on input image. PCA,NA-PCA,MAF,ICA methods are available. It is also possible to compute the inverse transform to reconstruct the image. It is also possible to optionnaly export the transformation matrix to a text file.<h2>Parameters</h2><ul><li><b>[param] -in</b> <string> The input image to apply dimensionality reduction.. Mandatory: True. Default Value: ""</li><li><b>[param] -out</b> <string> output image. Components are ordered by decreasing eigenvalues.. Mandatory: True. Default Value: ""</li><li><b>[param] -rescale</b> <string> . Mandatory: False. Default Value: "0"</li><li><b>[param] -outinv</b> <string> reconstruct output image.. Mandatory: False. Default Value: ""</li><li><b>[param] -nbcomp</b> <int32> Number of relevant components kept. By default all components are kept.. Mandatory: False. Default Value: "0"</li><li><b>[param] -normalize</b> <boolean> center AND reduce data before Dimensionality reduction.. Mandatory: False. Default Value: "True"</li><li><b>[param] -outmatrix</b> <string> Filename to store the transformation matrix (csv format). Mandatory: False. Default Value: ""</li><li><b>[param] -inxml</b> <string> Load otb application from xml file. Mandatory: False. Default Value: ""</li><li><b>[param] -outxml</b> <string> Save otb application to xml file. Mandatory: False. Default Value: ""</li><b>[choice] -method</b> Selection of the reduction dimension method. pca,napca,maf,ica. Mandatory: True. Default Value: "pca"<ul><li><b>[group] -pca</b></li><ul></ul><li><b>[group] -napca</b></li><ul><li><b>[param] -method.napca.radiusx</b> <int32> . Mandatory: True. Default Value: "1"</li><li><b>[param] -method.napca.radiusy</b> <int32> . Mandatory: True. Default Value: "1"</li></ul><li><b>[group] -maf</b></li><ul></ul><li><b>[group] -ica</b></li><ul><li><b>[param] -method.ica.iter</b> <int32> . Mandatory: False. Default Value: "20"</li><li><b>[param] -method.ica.mu</b> <float> . Mandatory: False. Default Value: "1"</li></ul></ul></ul><h2>Limitations</h2>This application does not provide the inverse transform and the transformation matrix export for the MAF.<h2>Authors</h2>OTB-Team<h2>See Also</h2>"Kernel maximum autocorrelation factor and minimum noise fraction transformations," IEEE Transactions on Image Processing, vol. 20, no. 3, pp. 612-624, (2011)<h2>Example of use</h2><ul><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">in: cupriteSubHsi.tif</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">out: FilterOutput.tif</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">method: pca</p></li></ul></body></html>