%0 Journal Article
%T A Change Detection Algorithm for Man-made Objects Based on Multi-temporal Remote Sensing Images<br>基于多时相遥感图像的人造目标变化检测算法
%A SU Juan
%A WANG Gui-Jin
%A LIN Xing-Gang
%A LIU Dai-Zhi
%A <br>苏娟
%A 王贵锦
%A 林行刚
%A 刘代志
%J 自动化学报
%D 2008
%I 
%X The detection accuracy of traditional pixel-level change detection algorithms is seriously influenced by ra- diometric difference,registration error and the determination of classification threshold for a different image,and it is difficult to differentiate the true changes of interest from various kinds of detected changes.Therefore,a novel two-step change detection algorithm combining feature-level and pixel-level techniques is proposed to detect changes of man-made objects in multi-temporal remote sensing images.Large-size images are divided into overlapping sub-images,and the changed regions containing man-made objects are extracted by supervised sub-image classification.Then,a pixel-level change detection algorithm is developed to obtain quantitative detection results.Experimental results demonstrate the feasibility and effectiveness of the proposed algorithm.
%K 变化检测
%K 人造目标
%K 几何结构
%K HOG描述子
%K Gabor纹理
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=936206AD4D4D6A715DC1F296756C62F2&yid=67289AFF6305E306&vid=339D79302DF62549&iid=9CF7A0430CBB2DFD&sid=FC27EB98080C89E6&eid=9A7C41A6BCE530C0&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=16