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Proceedings Paper

Research on road object recognition in SAR image
Author(s): Rong Zhang; Guanfeng Liang; Zhengkai Liu; Xingxing Chen
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Paper Abstract

In this paper we present a new algorithm of road object recognition in SAR image. This algorithm fully makes use of the properties of SAR images. It employs an adaptive mean filter to depress the coherent speckle noise and preserves the edge in the low-level processing, which makes the road extraction much easier. In the middle-level processing, we designed an oriented filter to extract the potential road objects according to the continuity of roads in gray and direction, and in the end, road recognition is utilized in the high-level processing. The algorithm we present is verified to be effective when it's applied to the road extraction using the Radarsat Image of Taiwan district, China.

Paper Details

Date Published: 4 November 2005
PDF: 8 pages
Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 604335 (4 November 2005); doi: 10.1117/12.655042
Show Author Affiliations
Rong Zhang, Univ. of Science & Technology of China (China)
Guanfeng Liang, Univ. of Science & Technology of China (China)
Zhengkai Liu, Univ. of Science & Technology of China (China)
Xingxing Chen, Univ. of Science & Technology of China (China)


Published in SPIE Proceedings Vol. 6043:
MIPPR 2005: SAR and Multispectral Image Processing

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