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<root>
<key>SOMClassification</key>
<exec>otbcli_SOMClassification</exec>
<longname>SOM Classification</longname>
<group>Learning</group>
<description>SOM image classification.</description>
<parameter>
<parameter_type source_parameter_type="ParameterType_InputImage">ParameterRaster</parameter_type>
<key>in</key>
<name>InputImage</name>
<description>Input image to classify.</description>
<optional>False</optional>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_OutputImage">OutputRaster</parameter_type>
<key>out</key>
<name>OutputImage</name>
<description>Output classified image (each pixel contains the index of its corresponding vector in the SOM).</description>
<hidden />
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_InputImage">ParameterRaster</parameter_type>
<key>vm</key>
<name>ValidityMask</name>
<description>Validity mask (only pixels corresponding to a mask value greater than 0 will be used for learning)</description>
<optional>True</optional>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_Float">ParameterNumber</parameter_type>
<key>tp</key>
<name>TrainingProbability</name>
<description>Probability for a sample to be selected in the training set</description>
<minValue />
<maxValue />
<default>1</default>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_Int">ParameterNumber</parameter_type>
<key>ts</key>
<name>TrainingSetSize</name>
<description>Maximum training set size (in pixels)</description>
<minValue />
<maxValue />
<default>0</default>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_OutputImage">OutputRaster</parameter_type>
<key>som</key>
<name>SOM Map</name>
<description>Output image containing the Self-Organizing Map</description>
<hidden />
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_Int">ParameterNumber</parameter_type>
<key>sx</key>
<name>SizeX</name>
<description>X size of the SOM map</description>
<minValue />
<maxValue />
<default>32</default>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_Int">ParameterNumber</parameter_type>
<key>sy</key>
<name>SizeY</name>
<description>Y size of the SOM map</description>
<minValue />
<maxValue />
<default>32</default>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_Int">ParameterNumber</parameter_type>
<key>nx</key>
<name>NeighborhoodX</name>
<description>X size of the initial neighborhood in the SOM map</description>
<minValue />
<maxValue />
<default>10</default>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_Int">ParameterNumber</parameter_type>
<key>ny</key>
<name>NeighborhoodY</name>
<description>Y size of the initial neighborhood in the SOM map</description>
<minValue />
<maxValue />
<default>10</default>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_Int">ParameterNumber</parameter_type>
<key>ni</key>
<name>NumberIteration</name>
<description>Number of iterations for SOM learning</description>
<minValue />
<maxValue />
<default>5</default>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_Float">ParameterNumber</parameter_type>
<key>bi</key>
<name>BetaInit</name>
<description>Initial learning coefficient</description>
<minValue />
<maxValue />
<default>1</default>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_Float">ParameterNumber</parameter_type>
<key>bf</key>
<name>BetaFinal</name>
<description>Final learning coefficient</description>
<minValue />
<maxValue />
<default>0.1</default>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_Float">ParameterNumber</parameter_type>
<key>iv</key>
<name>InitialValue</name>
<description>Maximum initial neuron weight</description>
<minValue />
<maxValue />
<default>0</default>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_RAM">ParameterNumber</parameter_type>
<key>ram</key>
<name>Available RAM (Mb)</name>
<description>Available memory for processing (in MB)</description>
<minValue />
<maxValue />
<default>128</default>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_Int">ParameterNumber</parameter_type>
<key>rand</key>
<name>set user defined seed</name>
<description>Set specific seed. with integer value.</description>
<minValue />
<maxValue />
<default>0</default>
</parameter>
</root>
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