Road Recognition in High Resolution SAR Image Based on Genetic Algorithm
Road recognition from SAR image is a very important problem. In this paper, a new method is proposed which can detect multiple roads in an image. Firstly binary edge image is gained by Canny operator and edge refining. Secondly, edge curves are encoded by reversible chained list, and fitness function is constructed based on SAR image road models, and optimal road boundary curves are linked by improved Genetic Algorithm. Thirdly, complete road boundaries are detected by curve fitting. At last, mated long road edge curves are found out and road surface are stuffed. The experiment shows that this algorithm can realize roads recognition and eliminate influence of other non-road.
SAR road recognition Genetic Algorithm
Zhang Hong-lei Li Zhu-lin Wang Yan Zhang Xian-wei
Research Inst. Of Hi-Tech Of xian Hongqing Town, ShanXi Province, China Information and High Technology Research Institute of Beijing Beijing, China
国际会议
2006 IEEE International Conference on Information Acquisition
山东威海
英文
649-654
2006-08-20（万方平台首次上网日期，不代表论文的发表时间）