Decision rules — the four to know.

A decision rule is the algorithm that actually sorts a pixel into a class.

• Parallelepiped — upper/lower bounds per band per class.
• Minimum Distance — nearest class mean in feature space.
• Maximum Likelihood / Bayesian — highest probability, assumes Gaussian classes.
• Mahalanobis Distance — like Min Distance but scaled by class covariance.