Linear object extraction from high-resolution image based on MRF and Bayesian

Changhui Yu; Lingkui Meng; Yaohua Yi; Zhigao Yang

doi:10.1117/12.748483

15 November 2007 Linear object extraction from high-resolution image based on MRF and Bayesian

Changhui Yu, Lingkui Meng, Yaohua Yi, Zhigao Yang

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67861J (2007) https://doi.org/10.1117/12.748483
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Changhui Yu, Lingkui Meng, Yaohua Yi, and Zhigao Yang "Linear object extraction from high-resolution image based on MRF and Bayesian", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67861J (15 November 2007); https://doi.org/10.1117/12.748483

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