论文信息 - Fuzzy ARTMAP supervised classification of multi-spectral remotely-sensed images

Fuzzy ARTMAP supervised classification of multi-spectral remotely-sensed images

Abstract The fuzzy ARTMAP has been applied to the supervised classification of multi-spectral remotely-sensed images. This method is found to be more efficient, in terms of classification accuracy, compared to the conventional maximum likelihood classifier and also multi-layer perceptron with back propagation learning. The results have been discussed.

B. Mannan | J. Roy | A. K. Ray | B. Mannan | J. Roy

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