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Proceedings Paper

Tree crown extraction by data-driven birth-death and stochastic diffusion
Author(s): Yin Lin; Hengchao Li; Wen Hong
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Paper Abstract

A novel approach is proposed to extract the tree crown from remote sensing image.The method is based on Reversible Jump Markov Chain Monte Carlo sampler(RJMCMC), and improved data term is developd to describe the tree crown, and jump and diffusion strategy of sampling is employed to optimize the energy function. Similar or better extracting result is achieved with great efficiency , and the pre-segmentation is not need. The mothod is verified on remote sensing images

Paper Details

Date Published: 5 March 2008
PDF: 9 pages
Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 662314 (5 March 2008); doi: 10.1117/12.791431
Show Author Affiliations
Yin Lin, National Key Lab. of Microwave Imaging Technology (China)
Institute of Electronics (China)
Graduate Univ. of the Chinese Academy of Sciences (China)
Hengchao Li, National Key Lab. of Microwave Imaging Technology (China)
Institute of Electronics (China)
Graduate Univ. of the Chinese Academy of Sciences (China)
Wen Hong, National Key Lab. of Microwave Imaging Technology (China)
Institute of Electronics (China)


Published in SPIE Proceedings Vol. 6623:
International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing

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