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Multispectral image classification using wavelets:: a simulation study
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DOI：10.1016/S0031-3203(02)00125-5.png)
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Abstract
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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.
Keywords:
contextual classification
wavelet
spatial autocorrelation
multispectral imagery
Monte Carlo study
remote sensing
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