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Building Extraction and Change Detection in Multitemporal Remotely Sensed Images with Multiple Birth and Death Dynamics

Csaba Benedek 1 Xavier Descombes 1 Josiane Zerubia 1
1 ARIANA - Inverse problems in earth monitoring
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SIS - Signal, Images et Systèmes
Abstract : In this paper 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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https://hal.inria.fr/inria-00426618
Contributor : Csaba Benedek <>
Submitted on : Tuesday, October 27, 2009 - 9:21:46 AM
Last modification on : Monday, October 12, 2020 - 10:30:12 AM
Long-term archiving on: : Thursday, June 17, 2010 - 6:15:26 PM

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Csaba Benedek, Xavier Descombes, Josiane Zerubia. Building Extraction and Change Detection in Multitemporal Remotely Sensed Images with Multiple Birth and Death Dynamics. IEEE Workshop on Applications of Computer Vision (WACV), Dec 2009, Snowbird, United States. ⟨inria-00426618⟩

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