Building Extraction and Change Detection in Multitemporal Aerial and Satellite Images in a Joint Stochastic Approach

Csaba Benedek 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 : In this report we introduce a new probabilistic method which integrates building extraction with change detection in remotely sensed image pairs. A global optimization process attempts to find the optimal configuration of buildings, considering the observed data, prior knowledge, and interactions between the neighboring building parts. The accuracy is ensured by a Bayesian object model verification, meanwhile the computational cost is significantly decreased by a non-uniform stochastic object birth process, which proposes relevant objects with higher probability based on low-level image features.
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Rapport
[Research Report] RR-7143, INRIA. 2009
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https://hal.inria.fr/inria-00426615
Contributeur : Csaba Benedek <>
Soumis le : dimanche 13 décembre 2009 - 21:22:25
Dernière modification le : jeudi 11 janvier 2018 - 16:14:57
Document(s) archivé(s) le : jeudi 23 septembre 2010 - 18:13:28

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  • HAL Id : inria-00426615, version 3

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Csaba Benedek, Xavier Descombes, Josiane Zerubia. Building Extraction and Change Detection in Multitemporal Aerial and Satellite Images in a Joint Stochastic Approach. [Research Report] RR-7143, INRIA. 2009. 〈inria-00426615v3〉

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