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