Change Detection Based on Image Segment and Fusion in Multitemporal SAR images
(0) In this paper,a new change detection method based on image segmentation and fusion in multi-temporal SAR image is presented. The proposed fusion method exploits the conditional probability of difference image to two original images to fuse the segment results of two original SAR images. The new method can be divided into four steps:1) the original SAR images are segmented into two classes using the proposed segmentation method based on canny edge match.2) The two segmentation result images are fused with conditional probability rule and a fusion difference image considering spatial context is obtained.3) The fusion image is thresholdec! with OTSU threshold,and the initial change detection result is obtained.4) With subtraction operation and absolute operatic* between two segment results of original SAR images,a Bo.:mage with 0 and 1 value is obtained. Then the change dei<^ result is composed of the regions in the Boolean image co.;sponding to the change regions in the initial change detection result.Experimental results obtained on simulate and real 1-AR images confirm the effectiveness of the proposed approach.
change detection condition probability image segmentation image fusion canny edge match
Guiting Wang Zhenquan Gu Licheng Jiao Yuanzhang Fan
Key Laboratory of Intelligent Perception and Image Understanding of theMinistry of Education of China,Institute of Intelligent Information Processing,Xidian University,Xian,710071,China
国际会议
2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)
西安
英文
821-824
2009-10-26（万方平台首次上网日期，不代表论文的发表时间）