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22 lines
1.1 KiB
Plaintext
22 lines
1.1 KiB
Plaintext
TrainSVMImagesClassifier
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otbcli_TrainSVMImagesClassifier
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Train SVM classifier from multiple images
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Learning
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ParameterMultipleInput|-io.il|Input Image List|3|False
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ParameterMultipleInput|-io.vd|Vector Data List|-1|False
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ParameterFile|-io.imstat|XML image statistics file|
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OutputFile|-io.out|Output SVM model
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*ParameterSelection|-elev|Elevation management|dem;average|1
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*ParameterFile|-elev.dem|DEM directory|
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*ParameterFile|-elev.geoid|Geoid File|
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*ParameterNumber|-elev.default|Average Elevation|None|None|0.0
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*ParameterNumber|-sample.mt|Maximum training sample size|None|None|-1
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*ParameterNumber|-sample.mv|Maximum validation sample size|None|None|-1
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*ParameterBoolean|-sample.edg|On edge pixel inclusion|
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ParameterNumber|-sample.vtr|training and validation sample ratio|None|None|0.5
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ParameterString|-sample.vfn|Name of the discrimination field|Class
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ParameterSelection|-svm.k|SVM Kernel Type|linear;rbf;poly;sigmoid|0
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ParameterNumber|-svm.c|Cost parameter C.|None|None|1.0
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ParameterBoolean|-svm.opt|parameters optimization|
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ParameterNumber|-rand|set user defined seed|None|None|0
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