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Conference Papers Year : 2008

A Mixed Markov Model for Change Detection in Aerial Photos with Large Time Differences

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.
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Dates and versions

inria-00359116 , version 1 (05-02-2009)

Identifiers

  • HAL Id : inria-00359116 , version 1

Cite

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⟩
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