otbcli_KMeansClassification1
Otb kmeansclassification application
Overview
This is the KMeansClassification application, version 5.2.0 Unsupervised KMeans image classification
Complete documentation: http://www.orfeo-toolbox.org/Applications/KMeansClassification.html
Parameters:
-
-progress <boolean> -
Report progress
-in <string> Input Image (mandatory)
-out <string> [pixel] Output Image [pixel=uint8/uint16/int16/uint32/int32/float/double] (default value is uint8) (mandatory)
-
-ram -
<int32> Available RAM (Mb) (optional, off by default, default value is 128)
-
-vm -
<string> Validity Mask (optional, off by default)
-
-ts -
<int32> Training set size (optional, on by default, default value is 100)
-
-nc -
<int32> Number of classes (mandatory, default value is 5)
-
-maxit -
<int32> Maximum number of iterations (optional, on by default, default value is 1000)
-
-ct -
<float> Convergence threshold (optional, on by default, default value is 0.0001)
-
-outmeans <string> -
Centroid filename (optional, off by default)
-
-rand -
<int32> set user defined seed (optional, off by default)
-
-inxml -
<string> Load otb application from xml file (optional, off by default)
Examples
otbcli_KMeansClassification -in QB_1_ortho.tif -ts 1000 -nc 5 -maxit 1000 -ct 0.0001 -out ClassificationFilterOutput.tif
Releases
Unchanged in 2 releases since Debian 9 (Stretch).