Three-step supervised procedure.

1. Select training samples — homogeneous AOIs for each class.
2. Generate and evaluate statistical signatures — mean, std, covariance per band, per class.
3. Class assignment using a decision rule — Parallelepiped, Min Distance, Max Likelihood, or Mahalanobis.