首页   按字顺浏览 期刊浏览 卷期浏览 Fuzzy ARTMAP supervised classification of multi-spectral remotely-sensed images
Fuzzy ARTMAP supervised classification of multi-spectral remotely-sensed images

 

作者: B. Mannan,   J. Roy,   A. K. Ray,  

 

期刊: International Journal of Remote Sensing  （Taylor Available online 1998）
卷期: Volume 19, issue 4  

页码: 767-774

 

ISSN:0143-1161

 

年代: 1998

 

DOI:10.1080/014311698215991

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

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.

 

点击下载:  PDF (298KB)



返 回