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 , 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.
Type de document :
Rapport
[Research Report] RR-5982, INRIA. 2006, pp.14
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Contributeur : Xavier Descombes <>
Soumis le : jeudi 5 octobre 2006 - 09:21:57
Dernière modification le : mercredi 31 janvier 2018 - 10:24:04
Document(s) archivé(s) le : jeudi 23 septembre 2010 - 15:35:35

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  • HAL Id : inria-00097555, version 3

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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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