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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.
Cited literature [8 references]
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
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
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benedekICPR08.pdf
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