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 <>
Soumis le : jeudi 5 février 2009 - 16:55:29
Dernière modification le : mardi 24 février 2009 - 11:40:18
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>
