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Proceedings Paper

Linear object extraction from high-resolution image based on MRF and Bayesian
Author(s): Changhui Yu; Lingkui Meng; Yaohua Yi; Zhigao Yang
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Paper Abstract

The commercialization of high resolution remote sensing image provides the image application more widely space. How to extract the interested important objects quickly and exactly from remote sensing image is always the research focus. After analyzed the characteristics of road in high resolution image, the paper constructed the road extraction model based on MRF and Bayesian. And finally the validity of the method was confirmed by an example.

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, 67861J (15 November 2007); doi: 10.1117/12.748483
Show Author Affiliations
Changhui Yu, Wuhan Univ. (China)
Lingkui Meng, Wuhan Univ. (China)
Yaohua Yi, Wuhan Univ. (China)
Zhigao Yang, Wuhan Univ. (China)


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

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