%0 Journal Article
%T Remote Sensing Image Retrieval Based on Artificial Immune System<br>基于人工免疫系统的遥感图像检索
%A GENG Li-chuan
%A WU Yun-dong
%A GENG Ze-xun
%A WANG Yong-gang
%A <br>耿利川
%A 吴云东
%A 耿则勋
%A 王永刚
%J 中国图象图形学报
%D 2010
%I 
%X A novel remote sensing image retrieval method based on artificial immune system (AIS) is proposed in this paper. Based on the relevance feedback technology and the immune mechanism, clonal selection algorithm is used to learn and memorize the user feedback image feature, the recognition of customers' semantic target for system is improved. Experimental results show that this approach can recognize the user feedback information efficiently and improve the retrieval accuracy.
%K artificial immune system
%K remote sensing image retrieval
%K relevance feedback
%K clonal selection<br>人工免疫系统
%K 遥感图像检索
%K 相关反馈
%K 克隆选择
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=83C6A3F7709682AF4A6523E5B5F63F0E&yid=140ECF96957D60B2&vid=23CCDDCD68FFCC2F&iid=CA4FD0336C81A37A&sid=7CE3F1F20DE6B307&eid=1B97AE5098AEB49C&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=1&reference_num=13