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.
Type de document :
Communication dans un congrès
Proc. International Conference on Pattern Recognition (ICPR), Dec 2008, Tampa, United States. 2008
https://hal.inria.fr/inria-00359116
Contributeur : Csaba Benedek
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Soumis le : jeudi 5 février 2009 - 16:55:29
Dernière modification le : mercredi 31 janvier 2018 - 10:24:04
Document(s) archivé(s) le : vendredi 12 octobre 2012 - 10:55:24
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. 2008. 〈inria-00359116〉
