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Proceedings Paper

Road detection in SAR images using a tensor voting algorithm
Author(s): Dajiang Shen; Chun Hu; Bing Yang; Jinwen Tian; Jian Liu
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Paper Abstract

In this paper, the problem of the detection of road networks in Synthetic Aperture Radar (SAR) images is addressed. Most of the previous methods extract the road by detecting lines and network reconstruction. Traditional algorithms such as MRFs, GA, Level Set, used in the progress of reconstruction are iterative. The tensor voting methodology we proposed is non-iterative, and non-sensitive to initialization. Furthermore, the only free parameter is the size of the neighborhood, related to the scale. The algorithm we present is verified to be effective when it's applied to the road extraction using the real Radarsat Image.

Paper Details

Date Published: 15 November 2007
PDF: 6 pages
Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 678703 (15 November 2007); doi: 10.1117/12.749892
Show Author Affiliations
Dajiang Shen, Huazhong Univ. of Science and Technology (China)
Chun Hu, Huazhong Univ. of Science and Technology (China)
Bing Yang, Huazhong Univ. of Science and Technology (China)
Jinwen Tian, Huazhong Univ. of Science and Technology (China)
Jian Liu, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 6787:
MIPPR 2007: Multispectral Image Processing
Henri Maître; Hong Sun; Jianguo Liu; Enmin Song, Editor(s)

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