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