%0 Journal Article
%T Endmemeber extraction for hyperspectral image based on normalized cut and watershed transformation<br>Normalized Cut与分水岭变换在高光谱影像混合像元端元提取中的应用
%A Xu Han
%A Li Xiaojuan
%A <br>许菡
%A 李小娟
%J 中国图象图形学报
%D 2012
%I 
%X As spatial information plays an important role in remote sensing analysis, more and more researchers pay focus on spectral-spatial endmember extraction. An improved endmember extraction method with a spatial preprocessing module, which uses watershed with normalized cuts to avoid over-segmentation and producing accurate results from spectral mixture analysis, is proposed in this paper. According to the experiment in this study the spatial-spectral endmember extraction method can generate a more accurate pixel un-mixing results during image segmentation.
%K remote sensing image segmentation
%K watershed transform
%K Normalized Cut
%K endmember extraction
%K hyperspectral satellite image<br>遥感影像分割
%K 分水岭变换
%K Normalized
%K Cut
%K 端元提取
%K 高光谱数据
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=804D8F4691AB78568A87A75323B192B1&yid=99E9153A83D4CB11&vid=BCA2697F357F2001&iid=DF92D298D3FF1E6E&sid=750AE535ABE3D62A&eid=745C7FAEA69986C7&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=13