文章基本信息

标题：Classification of CBERS-2 imagery with fuzzy ARTMAP classifier
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作者：Chengfeng Luo ; Zhengjun Liu ; Qin Yan 等
期刊名称：Geo-spatial Information Science
印刷版ISSN：1009-5020
电子版ISSN：1993-5153
出版年度：2007
卷号：10
期号：2
页码：124-127
DOI：10.1007/s11806-007-0043-y
出版社：Taylor and Francis Ltd
摘要：A fuzzy ARTMAP classifier is adopted for a classification experiment of CBERS-2 imagery. The fundamental theory and processing about the algorithm are first introduced, followed with a land-use classification experiment in Shihezi County on CBERS-2 high resolution imagery. Three classifiers are compared: maximum likelihood classifier (MLC), error back propagation (BP) classifier, and fuzzy ARTMAP classifier. The comparison shows comparably better results for the fuzzy ARTMAP classifier, with overall classification accuracy of 9.9% and 4.6% higher than that of MLC and BP. The results also prove that the fuzzy ARTMAP classifier has better discernment in identifying bare soil on CBERS-2 imagery.
关键词：fuzzy ARTMAP; CBERS-2 imagery; classification