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A Mixed Markov model for change detection in aerial photos with large time differences

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2 Author(s)
Benedek, C. ; Distrib. Events Anal. Res. Group, Comput. & Autom. Res. Inst., Budapest ; Sziranyi, T.

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.

Published in:

Pattern Recognition, 2008. ICPR 2008. 19th International Conference on

Date of Conference:

8-11 Dec. 2008