Tree crown extraction by data-driven birth-death and stochastic diffusion

Yin Lin; Hengchao Li; Wen Hong

doi:10.1117/12.791431

5 March 2008 Tree crown extraction by data-driven birth-death and stochastic diffusion

Yin Lin, Hengchao Li, Wen Hong

Proceedings Volume 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing; 662314 (2008) https://doi.org/10.1117/12.791431
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China

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

Citation Download Citation

Yin Lin, Hengchao Li, and Wen Hong "Tree crown extraction by data-driven birth-death and stochastic diffusion", Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 662314 (5 March 2008); https://doi.org/10.1117/12.791431

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