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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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Submitted on : Monday, September 25, 2006 - 2:08:18 PM
Last modification on : Tuesday, December 7, 2021 - 4:10:09 PM
Long-term archiving on: : Monday, September 20, 2010 - 4:15:45 PM


  • HAL Id : inria-00097555, version 2



Xavier Descombes, Eugene Pechersky. Tree Crown Extraction using a Three States Markov Random Field. [Research Report] RR-5982, 2006, pp.14. ⟨inria-00097555v2⟩



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