DocumentCode :
3457155
Title :
Road Recognition in High Resolution SAR Image Based on Genetic Algorithm
Author :
Hong-lei, Zhang ; Li Zhu-lin ; Yan, Wang ; Xian-wei, Zhang
Author_Institution :
Res. Inst. of Hi-Tech of Xi´´an, Xi´´an
fYear :
2006
fDate :
20-23 Aug. 2006
Firstpage :
649
Lastpage :
654
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; radar imaging; radar target recognition; roads; synthetic aperture radar; Canny operator; binary edge image; curve fitting; edge curves; edge refining; fitness function; genetic algorithm; high-resolution SAR image; multiple road detection; optimal road boundary curves; reversible chained list; road boundaries; road recognition; Character recognition; Genetic algorithms; Image edge detection; Image recognition; Image resolution; Roads; Spatial resolution; Surface fitting; Target recognition; Weapons; Genetic Algorithm; SAR; road recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Acquisition, 2006 IEEE International Conference on
Conference_Location :
Shandong
Print_ISBN :
1-4244-0528-9
Electronic_ISBN :
1-4244-0529-7
Type :
conf
DOI :
10.1109/ICIA.2006.305803
Filename :
4097736
Link To Document :
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