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
2 MTA SZTAKI Hungarian Academy of Sciences - Distributed Events Analysis Research Group

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.

Domaines: Traitement des images [eess.IV]

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⟩