Provided by: otb-bin_6.6.1+dfsg-2_amd64 bug

NAME

       otbcli_KMeansClassification - OTB KMeansClassification application

DESCRIPTION

       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

SEE ALSO

       The full documentation for otbcli_KMeansClassification is maintained as a Texinfo  manual.
       If  the info and otbcli_KMeansClassification programs are properly installed at your site,
       the command

              info otbcli_KMeansClassification

       should give you access to the complete manual.