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**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.

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