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Tree Crown Extraction using a Three State 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 state 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 Connect in order to contact the contributor
Submitted on : Thursday, October 5, 2006 - 9:21:57 AM
Last modification on : Friday, February 4, 2022 - 3:19:05 AM
Long-term archiving on: : Thursday, September 23, 2010 - 3:35:35 PM


  • HAL Id : inria-00097555, version 3



Xavier Descombes, Eugene Pechersky. Tree Crown Extraction using a Three State Markov Random Field. [Research Report] RR-5982, INRIA. 2006, pp.14. ⟨inria-00097555v3⟩



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