Tree-structured wavelet decomposition based on the maximization of Fisher's distance

Abstract

The authors propose a method for optimizing the decomposition law of a tree-structured wavelet transform in order to maximize the capability of discriminating different textures. The optimization criterion is the maximization of the Fisher's distance. The analysis is carried out theoretically and by simulation on Gaussian Markov random fields and is then applied to the classification of real synthetic aperture radar images.