Title :
Tree-structured wavelet decomposition based on the maximization of Fisher´s distance
Author :
Barbarossa, Sergio ; Parodi, Laura
Author_Institution :
INFOCOM Dept., Rome Univ., Italy
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
Keywords :
Gaussian processes; Markov processes; image classification; image texture; information theory; matrix algebra; optimisation; radar imaging; random processes; synthetic aperture radar; trees (mathematics); wavelet transforms; Fisher´s distance maximization; Gaussian Markov random fields; decomposition law; image classification; optimization criterion; real synthetic aperture radar images; simulation; texture discrimination; tree-structured wavelet decomposition; tree-structured wavelet transform; Analytical models; Computational modeling; Data mining; Feature extraction; Image analysis; Markov random fields; Mirrors; Optimization methods; Synthetic aperture radar; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.480062