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Proceedings Paper

Road extraction from SAR images based on particle filtering
Author(s): Junyi Liu; Deren Li; Haigang Sui; Xin Mei
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Paper Abstract

Road extraction plays an important role in many applications such as traffic monitoring. In order to speed the extraction and enhance its precision, an approach based on particle filtering is proposed in this paper. Firstly, an improved line detector is presented to extract road candidates, which makes use of the road characteristic on SAR images. Then particle filtering based on Monte Carlo theory is applied to group the candidates. Applied results show that the road extraction method is effective and the road features on SAR images have been extracted accurately. Moreover, the method can be realized simply and save the amount of calculation.

Paper Details

Date Published: 15 November 2007
PDF: 8 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67862G (15 November 2007); doi: 10.1117/12.749687
Show Author Affiliations
Junyi Liu, Wuhan Univ. (China)
Deren Li, Wuhan Univ. (China)
Haigang Sui, Wuhan Univ. (China)
Xin Mei, Hubei Univ. (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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