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EcoNet
Image Analysis using Statistical Physics Methodologies : Application to Forest Monitoring
 Abstract :
The goal of this project is to develop and compare two approaches in the context of tree crown extraction from remotely sensed images. As a result, we obtain a description of each individual tree by its location and the size of its crown. This description allows the counting of tree and to forescast the development of the population.
The two approaches concern the Markov Random Field and the Marked Point Process modeling. For each approach, the computation time issue will be considered. For this, two optimization techniques, the Monte Carlo approach (MCMC and RJMCMC) and the diffusion process approach (Langevin dynamic and Birth and Death process) will be studied. |
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New demo webpage
