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.
https://hal.inria.fr/inria-00359116
Contributor : Csaba Benedek <>
Submitted on : Thursday, February 5, 2009 - 4:55:29 PM Last modification on : Monday, October 12, 2020 - 10:30:13 AM Long-term archiving on: : Friday, October 12, 2012 - 10:55:24 AM
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⟩