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<root>
<key>DimensionalityReduction-ica</key>
<exec>otbcli_DimensionalityReduction</exec>
<longname>DimensionalityReduction (ica)</longname>
<group>Image Filtering</group>
<description>Perform Dimension reduction of the input image.</description>
<parameter>
<parameter_type source_parameter_type="ParameterType_InputImage">ParameterRaster</parameter_type>
<key>in</key>
<name>Input Image</name>
<description>The input image to apply dimensionality reduction.</description>
<optional>False</optional>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_OutputImage">OutputRaster</parameter_type>
<key>out</key>
<name>Output Image</name>
<description>output image. Components are ordered by decreasing eigenvalues.</description>
<hidden />
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_OutputImage">OutputRaster</parameter_type>
<key>outinv</key>
<name> Inverse Output Image</name>
<description>reconstruct output image.</description>
<hidden />
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_Choice">ParameterSelection</parameter_type>
<key>method</key>
<name>Algorithm</name>
<description>Selection of the reduction dimension method.</description>
<options>
<choices>
<choice>ica</choice>
</choices>
</options>
<default>0</default>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_Int">ParameterNumber</parameter_type>
<key>method.ica.iter</key>
<name>number of iterations </name>
<description />
<minValue />
<maxValue />
<default>20</default>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_Float">ParameterNumber</parameter_type>
<key>method.ica.mu</key>
<name>Give the increment weight of W in [0, 1]</name>
<description />
<minValue />
<maxValue />
<default>1</default>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_Int">ParameterNumber</parameter_type>
<key>nbcomp</key>
<name>Number of Components.</name>
<description>Number of relevant components kept. By default all components are kept.</description>
<minValue />
<maxValue />
<default>0</default>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_Empty">ParameterBoolean</parameter_type>
<key>normalize</key>
<name>Normalize.</name>
<description>center AND reduce data before Dimensionality reduction.</description>
<default>True</default>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_OutputFilename">OutputFile</parameter_type>
<key>outmatrix</key>
<name>Transformation matrix output (text format)</name>
<description>Filename to store the transformation matrix (csv format)</description>
</parameter>
</root>
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