Road Recognition in High Resolution SAR Image Based on Genetic Algorithm

被引：1
|
作者：
Li Zhu-Iin [1 ]
Zhang Xian-Wei [2 ]
Zhang Hong-Lei [3 ]
机构：
[1] Yanan Univ, Yanan, Shanxi Province, Peoples R China
[2] Beijing Informat & High Technol Rec Inst, Beijing, Peoples R China
[3] Beijing Dept Euipment, Beijing, Peoples R China
来源：
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年
基金：
中国国家自然科学基金;
关键词：
SAR; road recognition; Genetic Algorithm;
D O I：
10.1109/WCICA.2008.4593960
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：6783 / +
页数：2
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