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Reports (Research Report) Year : 2009

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

Csaba Benedek
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Xavier Descombes
Josiane Zerubia
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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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Dates and versions

inria-00426615 , version 1 (27-10-2009)
inria-00426615 , version 2 (08-12-2009)
inria-00426615 , version 3 (13-12-2009)

Identifiers

  • HAL Id : inria-00426615 , version 3

Cite

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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