%0 Journal Article
%T Spectral unmixing based image restoration for optical remote sensing images covered by thin cloud<br>基于混合像元分解的薄云下光学遥感图像恢复方法
%A YU Yue
%A GU Hua
%A SUN Wei-dong
%A <br>于钺
%A 顾华
%A 孙卫东
%J 中国图象图形学报
%D 2010
%I 
%X The obscuring effect of clouds is one of the major factors which restrict the observation capabilities of optical remote sensing satellites. In this paper, aimed at image restoration for optical remote sensing images covered by thin clouds, three contributions have been made. Firstly, with characteristics of clouds, an enhanced linear mixing model has been proposed, in which the influence of clouds on the measured spectra has been presented explicitly. Secondly, two spectral unmixing based image restoration methods have been given, namely the direct elimination method (DEM) and the abundance adjusting method (AAM). At last, with different combinations of the two spectral unmixing algorisms VCA/MDC-NMF and two image restoration methods DEM/AAM, the capabilities and results of relevant methods are analyzed qualitatively and quantitatively, using both simulated and real datasets. Experimental results show that, the combination of MDC-NMF and AAM can achieve the best image restoration result.
%K spectral unmixing
%K image restoration
%K thin cloud
%K optical remote sensing<br>混合像元分解
%K 图像恢复
%K 薄云
%K 光学遥感
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=83D2ED5B216CEE065F29382441DA1F04&yid=140ECF96957D60B2&vid=23CCDDCD68FFCC2F&iid=708DD6B15D2464E8&sid=C134FCA51C2CF9D8&eid=BCF7BCA77FA8F9BA&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=0