Title :
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
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;
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
DOI :
10.1109/IWSSIP.2008.4604384
