Skip to Main content Skip to Navigation
Reports

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 , Laboratoire I3S - 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.
Complete list of metadata

https://hal.inria.fr/inria-00426615
Contributor : Csaba Benedek <>
Submitted on : Sunday, December 13, 2009 - 9:22:25 PM
Last modification on : Monday, October 12, 2020 - 10:30:13 AM
Long-term archiving on: : Thursday, September 23, 2010 - 6:13:28 PM

File

benedek_RR.pdf
Explicit agreement for this submission

Identifiers

  • HAL Id : inria-00426615, version 3

Collections

Citation

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⟩

Share

Metrics

Record views

727

Files downloads

1050