%0 Journal Article
%T Object-level Change Detection Based on Multiscale Fusion<br>基于多尺度融合的对象级变化检测新方法
%A HUO Chun-Lei
%A CHENG Jian
%A LU Han-Qing
%A ZHOU Zhi-Xin
%A <br>霍春雷
%A 程健
%A 卢汉清
%A 周志鑫
%J 自动化学报
%D 2008
%I 
%X Urban change detection based on multiscale fusion is discussed in this paper.The limitations of traditional change detection methods and the difficulties of urban change detection of very high resolution images are first analyzed. To address the above limitations,a novel object-level framework based on multiseale fusion is presented for urban change detection.Taking advantages of the object-level change detection,the framework can improve the separability of changed class and unchanged class.To further improve the change detection accuracy,two different multiscale fusion strategies are applied in the framework.Experimental results obtained on QuickBird images confirm the effectiveness of the proposed approach.
%K Remote sensing images
%K object-level change detection
%K multiscale decision fusion
%K multiscale feature fusion<br>遥感图像
%K 对象级变化检测
%K 多尺度决策融合
%K 多尺度特征融合
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=F3BCC62E5A63C18070E5D6DF05F3FCE7&yid=67289AFF6305E306&vid=339D79302DF62549&iid=38B194292C032A66&sid=4B1FFFA116F7AE3B&eid=4290346F7268639E&journal_id=0254-4156&journal_name=自动化学报&referenced_num=2&reference_num=17