Fuzzy ARTMAP supervised classification of multi-spectral remotely-sensed images
- 1 January 1998
- journal article
- research article
- Published by Taylor & Francis in International Journal of Remote Sensing
- Vol. 19 (4) , 767-774
- https://doi.org/10.1080/014311698215991
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.Keywords
This publication has 0 references indexed in Scilit: