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Author(s): Mannan, B. | Ray, A.K. | Roy, J. |
Year: 1998
Citation: INTERNATIONAL JOURNAL OF REMOTE SENSING Volume: 19 Issue: 4 Pages: 767-774
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.
Topics:
Image Analysis,
Applications:
Remote Sensing,
Models:
Fuzzy ARTMAP,
