A Study of Automation Recognition of Bridge in SAR Image
According to river and bridge features in SAR (Synthetic Aperture Radar, SAR) image as well as the position relationship between bridge and river, the automatic recognition method of bridge is presented. First, the gradient of an image is calculated by gradient operator in order to get the gradient image, and river region is segmented by Fisher criterion* Then > a doubtful bridge region is extracted by morphology method, and segmented by Fisher criterion. Finally, the bridge is recognized according to the features. Experimental results show that this method can automatically and rapidly recognize bridge.
SAR image bridge recognition Fisher criterion morphology
ZHANG Li-ping HE Jin-qi Dai Hongliang WAN Chun-ming
College of communication Jilin University, Jilin 130022, China College of Science Changchun University of Science and Technology, Jilin 130022, China Changchun Ins Center for Computer Fundamental Education, Jilin university, ChangChun 130025. College of Science Changchun University of Science and Technology, Jilin 130022, China
国际会议
长春
英文
391-394
2010-08-24(万方平台首次上网日期,不代表论文的发表时间)