Unsupervised classification (Tutorial)

Unsupervised K-Means classification

1. Add the raster layer 188_pca_indices.tif into a QGIS project.
   1. Open the k-means classification algorithm provided by the Orfeo toolbox. It can be found in the processing toolbar under Toolbox --> Orfeo Toolbox --> Learning --> Unsupervised KMeans image classification (see figure A).
      • Set the 188_pca_indices layer as Input image.
      • Training set size: 100000
      • Set the Number of classes to 20 and the Number of iterations to 1000.
      • The Convergence threshold should be set at 0.0001.
      • Leave all other configurations as they are and click Run. The resulting image has 20 classes, labeled from 0 to 19.