HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Reports

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 :
Reports
Complete list of metadata

Cited literature [1 references]  Display  Hide  Download

https://hal.inria.fr/inria-00097555
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

Identifiers

  • HAL Id : inria-00097555, version 3

Collections

Citation

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

Share

Metrics

Record views

122

Files downloads

141