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