Skip to Main content Skip to Navigation

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.
Document type :
Complete list of metadata

Cited literature [1 references]  Display  Hide  Download
Contributor : Xavier Descombes Connect in order to contact the contributor
Submitted on : Thursday, October 5, 2006 - 9:21:57 AM
Last modification on : Saturday, June 25, 2022 - 10:57:38 PM
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⟩



Record views


Files downloads