An efficient method of road extraction in SAR image

Authors:
Min Wang;Yanning Zhang;Lili Zhang
Affiliations:
Computer school of Northwestern Polytechnical University, Xi'an, Shaanxi, P.R. China;Computer school of Northwestern Polytechnical University, Xi'an, Shaanxi, P.R. China;Computer school of Northwestern Polytechnical University, Xi'an, Shaanxi, P.R. China
Venue:
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
Year:
2006

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Abstract

A new method of the Road extraction in synthetic aperture radar (SAR) image is proposed in this paper. Roads in a high resolution SAR image can be modeled as a homogeneous dark area bounded by two parallel lines. The fundamental is based on linear extraction and improved Hough transform. Combining Hough transform and the partition of the line, the problem of location of line segments was solved. The improved Hough transform is tested on synthetic images and noisy images. The experimental results show the method's validity.