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

页码：767 / 774

页数：8

共 12 条

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