Derivation of a Best Linear Discriminant Function for Multispectral Image Classification

Abstract

A simple derivation of a best linear discriminant function was presented through geometrical consideration on ellipses with equi-Mahalanobis distance. It was also shown that the function satisfied the Minimax criterion, which implied the robustness with regard to priori probabilities of concerned categories.