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Building extraction and change detection in multitemporal remotely sensed images with multiple birth and death dynamics

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3 Author(s)
Benedek, C. ; Ariana Project Team (INRIA/CNRS/UNSA), Sophia Antipolis, France ; Descombes, X. ; Zerubia, J.

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.

Published in:

Applications of Computer Vision (WACV), 2009 Workshop on

Date of Conference:

7-8 Dec. 2009

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