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Reports (Research Report) Year : 2006

Tree Crown Extraction using a Three State Markov Random Field

Xavier Descombes
Eugene Pechersky
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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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Dates and versions

inria-00097555 , version 1 (21-09-2006)
inria-00097555 , version 2 (25-09-2006)
inria-00097555 , version 3 (05-10-2006)

Identifiers

  • HAL Id : inria-00097555 , version 3

Cite

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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