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Tree Crown Extraction using a Three States Markov Random Field

Xavier Descombes 1 Eugene Pechersky 2
1 ARIANA - Inverse problems in earth monitoring
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SIS - Signal, Images et Systèmes
Abstract : We present a new model for extracting tree crowns from aerial images, containing a near infrared channel. We addres s the problem as an image segmentation problem solved by a Markov Random Field (MRF) modeling embedded in a Bayesian framework. The prior model consists of a couple field defined by a three states MRF, associated to vegetation, background and center of trees, and a template field representing the tree shape. A template field allows to associate an ellipse to model the crown of each detected tree. The mod el is optimized by a simulated annealing scheme based on a Metropolis dynamics. We show some results on real images of manmade plantations and natural forests.
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Contributor : Xavier Descombes <>
Submitted on : Thursday, September 21, 2006 - 6:13:22 PM
Last modification on : Monday, October 12, 2020 - 10:30:17 AM
Long-term archiving on: : Tuesday, April 6, 2010 - 1:06:54 AM


  • HAL Id : inria-00097555, version 1


Xavier Descombes, Eugene Pechersky. Tree Crown Extraction using a Three States Markov Random Field. [Research Report] 2006, pp.14. ⟨inria-00097555v1⟩



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