Unsupervised classification (Tutorial)

Unsupervised K-Means classification

• Type into the search box of the Windows taskbar: mapla.bat. Click on mapla.bat to open the Monteverdi Application Launcher.
• In the search engine of the Processing Toolbox, type kmeans and double click KMeansClassification.
• Specify a multispectral image as Input Image.
• Specify directory and name for the Output image. Select the output data type uint 8 from the pull-down list.
• Set the Number of classes to 20
• Check the Training set size to 10000
• Click on Execute.

• Load the resulting image into QGIS. It is single band file with 20 grey levels labeled from 0 to 19.
• Layer Properties --> Symbology --> Render type. Switch to Singleband pseudocolor and select a Color ramp (e.g. Spectral). Select the Mode Equal interval and set the number of classes to 20