Classification of CBERS-2 Imagery with Fuzzy ARTMAP Classifier

This paper adopts fuzzy ARTMAP classifier to do the classification CBERS-2 imagery.The fundament theory and material process about the algorithm were firstly introduced,followed with a landuse classification experiment in Shihezi Municipality on CBERS-2 high resolution imagery.Three classifiers were compared: maximum likelihood classifier(MLC),error back propagation classifier(BP),fuzzy ARTMAP classifier.The assessment shows that fuzzy ARTMAP classifier has a comparably better result,with overall classification accuracy higher 9.9% and 4.6% than MLC and BP.The result also shows that fuzzy ARTMAP classifier has a better discernment to identify the bare soil on CBERS-2 imagery.Finally a superiority of the fuzzy ARTMAP classifier on CBERS-2 high resolution imagery is concluded.