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Rapport (Rapport De Recherche) Année : 2006

Optimization Techniques for Energy Minimization Problem in a Marked Point Process Application to Forestry

Guillaume Perrin
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  • PersonId : 756485
  • IdRef : 178652474
Xavier Descombes
Josiane Zerubia
  • Fonction : Auteur
  • PersonId : 833424

Résumé

We use marked point processes to detect an unknown number of trees from high resolution aerial images. This approach turns to be an energy minimization problem, where the energy contains a prior term which takes into account the geometrical properties of the objects, and a data term to match these objects onto the image. This stochastic process is simulated via a Reversible Jump Markov Chain Monte Carlo procedure, which embeds a Simulated Annealing scheme to extract the best configuration of objects. We compare in this paper different cooling schedules of the Simulated Annealing algorithm which could provide some good minimization in a short time. We also study some adaptive proposition kernels.
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Dates et versions

inria-00070312 , version 1 (19-05-2006)

Identifiants

  • HAL Id : inria-00070312 , version 1

Citer

Guillaume Perrin, Xavier Descombes, Josiane Zerubia. Optimization Techniques for Energy Minimization Problem in a Marked Point Process Application to Forestry. [Research Report] RR-5704, INRIA. 2006, pp.31. ⟨inria-00070312⟩
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