Skip to main content
SLU publication database (SLUpub)

Research article2003Peer reviewed

Multispectral image classification using wavelets: a simulation study

Yu J, Ekstrom M


This work presents methods for multispectral image classification using the discrete wavelet transform. Performance of some conventional classification methods is evaluated, through a Monte Carlo Study, with or without using the wavelet transform. Spatial autocorrelation is present in the computer-generated data on different scenes, and the misclassification rates are compared. The results indicate that the wavelet-based method performs best among the methods under study. (C) 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved


Contextual classification; wavelet; spatial autocorrelation; multispectral imagery; Monte Carlo study; Remote sensing

Published in

Pattern Recognition
2003, Volume: 36, number: 4, pages: 889-898