Paper
3 November 2005 Research on road object recognition in SAR image
Rong Zhang, Guanfeng Liang, Zhengkai Liu, Xingxing Chen
Author Affiliations +
Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 604335 (2005) https://doi.org/10.1117/12.655042
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rong Zhang, Guanfeng Liang, Zhengkai Liu, and Xingxing Chen "Research on road object recognition in SAR image", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 604335 (3 November 2005); https://doi.org/10.1117/12.655042
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Cited by 3 scholarly publications.
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KEYWORDS
Roads

Synthetic aperture radar

Digital filtering

Image filtering

Image segmentation

Detection and tracking algorithms

Object recognition

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