Fuzzy ARTMAP supervised classification of multi-spectral remotely-sensed images |
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| Authors: | B. Mannan J. Roy A. K. Ray |
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| Affiliation: | 1. Jet Propulsion Laboratory , California Institute of Technology , Pasadena, California, 91109, U.S.A;2. Remote Sensing Research Unit , University of California , Santa Barbara, California, 93106, U.S.A |
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| 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. |
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