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A Mixed Markov Model for Change Detection in Aerial Photos with Large Time Differences

Csaba Benedek 1, 2 Tamás Szirányi 1
1 ARIANA - Inverse problems in earth monitoring
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SIS - Signal, Images et Systèmes
Abstract : In the paper we propose a novel multi-layer Mixed Markov model for detecting relevant changes in registered aerial images taken with significant time differences. The introduced approach combines global intensity statistics with local correlation and contrast features. A global energy optimization process simultaneously ensures optimal local feature selection and smooth, observation-consistent classification. Validation is given on real aerial photos.
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Submitted on : Thursday, February 5, 2009 - 4:55:29 PM
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Csaba Benedek, Tamás Szirányi. A Mixed Markov Model for Change Detection in Aerial Photos with Large Time Differences. Proc. International Conference on Pattern Recognition (ICPR), Dec 2008, Tampa, United States. ⟨inria-00359116⟩

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