Road extraction from SAR images based on particle filtering

Junyi Liu; Deren Li; Haigang Sui; Xin Mei

doi:10.1117/12.749687

15 November 2007 Road extraction from SAR images based on particle filtering

Junyi Liu, Deren Li, Haigang Sui, Xin Mei

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67862G (2007) https://doi.org/10.1117/12.749687
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Junyi Liu, Deren Li, Haigang Sui, and Xin Mei "Road extraction from SAR images based on particle filtering", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67862G (15 November 2007); https://doi.org/10.1117/12.749687

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KEYWORDS

Roads

Particles

Synthetic aperture radar

Particle filters

Sensors

Image segmentation

Image filtering

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