An information theory based image processing chain for change detection in Earth Observation

The paper presents an information theory approach for change detection, using Earth observation images. Correlation coefficient and Kullback-Leibler divergence are used as similarity measures allowing to find out where did change occur. Further, for an image characterization method, rate distortion...

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Bibliographic Details
Published in2008 15th International Conference on Systems, Signals and Image Processing pp. 129 - 132
Main Authors Faur, D., Vaduva, C., Gavat, I., Datcu, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2008
Subjects
change detection
Complexity theory
Correlation
Distortion measurement
Information theory
Mutual information
Rate-distortion
Remote sensing
remote sensing image
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Summary:The paper presents an information theory approach for change detection, using Earth observation images. Correlation coefficient and Kullback-Leibler divergence are used as similarity measures allowing to find out where did change occur. Further, for an image characterization method, rate distortion theory is implemented to delimitate image complex regions, with high probability to have changed.
ISBN:9788022728560
802272856X
ISSN:2157-8672
DOI:10.1109/IWSSIP.2008.4604384