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Fouille de données à l'aide de modèles stochastiques : segmentation temporo-spatiale des successsions de cultures d'un territoire agricole à l'aide de HMM2

El-Ghali Lazrak 1 Marc Benoît 1 Jean-Francois Mari 2
2 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : We propose an original data mining method to segment agricultural landscapes based on a temporo spatial modelling of their crop successions. This method consists in (i) choosing the length of the crop succession, (ii) choosing the spatial resolution to sample the territory, (iii) specifying a conceptual model to represent the crop successions by means of second-order Hidden Markov Models, and (iv) finally segmenting the territory into homogeneous areas that will be further investigated.
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https://hal.inria.fr/inria-00398182
Contributor : Jean-François Mari <>
Submitted on : Wednesday, June 24, 2009 - 1:50:41 PM
Last modification on : Tuesday, March 17, 2020 - 2:47:53 AM
Document(s) archivé(s) le : Tuesday, June 15, 2010 - 6:35:06 PM

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El-Ghali Lazrak, Marc Benoît, Jean-Francois Mari. Fouille de données à l'aide de modèles stochastiques : segmentation temporo-spatiale des successsions de cultures d'un territoire agricole à l'aide de HMM2. STIC 2009 Environnement, Université du littoral, Jun 2009, Calais, France. ⟨inria-00398182⟩

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