ENDMEMBER EXTRACTION FOR HYPERSPECTRAL IMAGES USING WATERSHED AND NORMALIZED CUTS

被引：0
|
作者：
Xu, Han [1 ]
Tian, Bangsen [2 ]
Liu, Fang [3 ]
机构：
[1] Capital Normal Univ, Coll Resource Environm & Tourism, Beijing, Peoples R China
[2] Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing 100094, Peoples R China
[3] Chinese Acad Sci, Beijing 100101, Peoples R China
来源：
ISPRS HANNOVER WORKSHOP 2011: HIGH-RESOLUTION EARTH IMAGING FOR GEOSPATIAL INFORMATION | 2011年 / 39-4卷 / W19期
关键词：
remote sensing images segmentation; watershed transform; normalized cut; endmember extraction; spatial-spectral; hyperspectral data;
D O I：
暂无
中图分类号：
P9 [自然地理学];
学科分类号：
0705 ; 070501 ;
摘要：
Endmember extraction integrated with spatial information has been concerned on some research recently. In this paper we studies an improved endmember extraction method with spatial preprocessing module which use watershed with normalized cuts to avoid over-segmentation and produce accurate results from spectral mixture analysis. The spatial-spectral endmember extraction method which used the advantages of image segmentation generates the preliminary results and provides important knowledge for future research.
引用
收藏
页码：365 / 368
页数：4
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