Title :
Road recognition in high resolution SAR image based on genetic algorithm
Author :
Zhu-lin, Li ; Xian-wei, Zhang ; Hong-lei, Zhang
Author_Institution :
Inst. of Comput. Sci., Yan´´an Univ., Yan´´an
Abstract :
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.
Keywords :
curve fitting; edge detection; genetic algorithms; image resolution; radar imaging; roads; synthetic aperture radar; Canny operator; SAR image; curve fitting; edge refining; fitness function; genetic algorithm; image resolution; road boundary curve; road detection; road edge curve; road recognition; Character recognition; Genetic algorithms; Image edge detection; Image recognition; Image resolution; Roads; Spatial resolution; Synthetic aperture radar; Target recognition; Weapons; Genetic Algorithm; SAR; road recognition;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593960
