Tree Crown Extraction Based on Data-Driven and Stochastic Diffusions

[1] Perrin G, Descombes X, and Zerubia J. Point processes inforestry: an application to tree crown detection. ResearchReport 5544, INRIA, April 2005. [2] Perrin G, Descombes X, and Zerubia J. Extraction dehouppiers par processus objet. Research Report 5037, INRIA,December 2003. [3] Ortner M, Descombes X, and Zerubia J. Improved RJMCMCpoint process sampler for object detection on images bysimulated annealing. Research Report 4900, INRIA, August2003. [4] Lafarge F, Descombes X, Zerubia J, and Deseiligny M. AParametric model for automatic 3D building reconstructionfrom high resolution Satellite Images. Research Report 5687,INRIA, September 2005. [5] Lacoste G, Descombes X, Zerubia J, and Baghdadi N.Hydrographic network extraction from radar satellite imagesusing a hierarchical model within a stochastic geometryframework Research Report 5697, INRIA, September 2005. [6] Han Feng, Tu Zhouwen, and Zhu Song-Chun. Range imagesegmentation by an Effective Jump-Diffusion method[J].IEEETrans. on Pattern Analysis and Machine Intelligence.2004,26(9):1138-1150 [7] Tu Zhouwen and Zhu Song-Chun. Image segmentation bydata-driven Markov Chain Monte Carlo[J].IEEE Trans. onPattern Analysis and Machine Intelligence.2002, 24(5):657-673 [8] Lacoste C, Descombes X, and Zerubia J. Point processes forunsupervised line network extraction in remote sensing[J].IEEE Trans. on Pattern Analysis and Machine Intelligence.2005, 27(10):1568-1579 [9] 茆诗松, 王静龙, 濮晓龙. 高等数理统计. 北京: 高等教育出版社, 1998: 419-423.Mao Shi-song, Wang Jing-long, and Pu Xiao-long. AdvancedMathematical Statistics. Beijing, China Higher EducationPress Beijing and Springer-Verlag Berlin Heidelberg, 1998:419-423.