A Non-Bayesian Model for Tree Crown Extraction using Marked Point Processes

Guillaume Perrin 1 Xavier Descombes 1 Josiane Zerubia 1
1 ARIANA - Inverse problems in earth monitoring
CRISAM - Inria Sophia Antipolis - Méditerranée , SIS - Signal, Images et Systèmes
Abstract : High resolution aerial and satellite images of forests have a key role to play in natural resource management. As they enable forestry managers to study forests at the scale of trees, it is now possible to get a more accurate evaluation of the resources. Automatic algorithms are needed in that prospect to assist human operators in the exploitation of these data. In this paper, we present a stochastic geometry approach to extract 2D and 3D parameters of the trees, by modelling the stands as some realizations of a marked point process of ellipses or ellipsoids, whose points are the locations of the trees and marks their geometric features. As a result we obtain the number of stems, their position, and their size. This approach yields an energy minimization problem, where the energy embeds a regularization term (prior density), which introduces some interactions between the objects, and a data term, which links the objects to the features to be extracted, in 2D and 3D. Results are shown on Colour Infrared aerial images provided by the French National Forest Inventory (IFN)
Type de document :
[Research Report] RR-5846, INRIA. 2006, pp.34
Liste complète des métadonnées

Littérature citée [22 références]  Voir  Masquer  Télécharger

Contributeur : Rapport de Recherche Inria <>
Soumis le : vendredi 19 mai 2006 - 19:22:39
Dernière modification le : mercredi 31 janvier 2018 - 10:24:04
Document(s) archivé(s) le : dimanche 4 avril 2010 - 20:26:11



  • HAL Id : inria-00070180, version 1



Guillaume Perrin, Xavier Descombes, Josiane Zerubia. A Non-Bayesian Model for Tree Crown Extraction using Marked Point Processes. [Research Report] RR-5846, INRIA. 2006, pp.34. 〈inria-00070180〉



Consultations de la notice


Téléchargements de fichiers