inria-00631038, version 1
Classification of very high resolution SAR images of urban areas
Aurélie Voisin
1Vladimir Krylov 1Gabriele Moser 2Sebastiano B. Serpico 2Josiane Zerubia 1
N° RR-7758 (2011)
Résumé : In the framework of the assessment of environmental risks, we propose herein a new supervised Bayesian classification method. It combines statistical image modeling with a contextual approach via hierarchical Markov random fields. This research report aims to further focus on this kind of contextual classification approach by detailing both the quad-tree mathematical model and the statistics of the observations, obtained by wavelet transform. We therefore introduce modifications to a classical Markovian single-scale algorithm that lead to more accurate classification results.
- 1 : ARIANA (INRIA Sophia Antipolis / Laboratoire I3S)
- INRIA – Université de Nice Sophia Antipolis (UNS) – CNRS : UMR7271
- 2 : Department of Biophysical and Electronic Engineering (DIBE)
- University of Genova
- Domaine : Informatique/Traitement du signal et de l'image
Sciences de l'ingénieur/Traitement du signal et de l'imageInformatique/Traitement des images - Mots-clés : Synthetic Aperture Radar – urban areas – supervised classification – Bayesian method – finite mixture model – hierarchical Markov random fields – wavelets – copulas
- Référence interne : RR-7758
- inria-00631038, version 1
- http://hal.inria.fr/inria-00631038
- oai:hal.inria.fr:inria-00631038
- Contributeur : Aurélie Voisin
- Soumis le : Mardi 11 Octobre 2011, 12:45:37
- Dernière modification le : Mardi 11 Octobre 2011, 13:37:33
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