Fuzzy ARTMAP supervised classification of multi-spectral remotely-sensed images

被引：47
|
作者：
Mannan, B [1 ]
Roy, J
Ray, AK
机构：
[1] Indian Inst Technol, Dept Elect & Elect Commun Engn, Kharagpur 721302, W Bengal, India
[2] ISRO, Reg Remote Sensing Serv Ctr, Kharagpur 721302, W Bengal, India
来源：
INTERNATIONAL JOURNAL OF REMOTE SENSING | 1998年 / 19卷 / 04期
关键词：
D O I：
10.1080/014311698215991
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
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.
引用
收藏
页码：767 / 774
页数：8
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