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

Author

Faur, D. ; Vaduva, C. ; Gavat, I. ; Datcu, M.

Author_Institution

Dept. of Appl. Electron. & Inf. Technol., Univ. Politeh. of Bucharest, Bucharest

fYear

2008

fDate

25-28 June 2008

Firstpage

129

Lastpage

132

Abstract

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.

Keywords

geophysical signal processing; image processing; rate distortion theory; remote sensing; Earth observation change detection; Earth observation images; Kullback-Leibler divergence; correlation coefficient; image characterization method; image processing chain; information theory; rate distortion theory; remote sensing; similarity measures; Crisis management; Distortion measurement; Earth; Humans; Image processing; Information theory; Pixel; Random variables; Remote monitoring; Remote sensing; change detection; information theory; remote sensing image;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Signals and Image Processing, 2008. IWSSIP 2008. 15th International Conference on

Conference_Location

Bratislava

Print_ISBN

978-80-227-2856-0

Electronic_ISBN

978-80-227-2880-5

Type

conf

DOI

10.1109/IWSSIP.2008.4604384

Filename

4604384