Title :
Change detection in aerial images
Author :
Borchani, M. ; Cloppet, F. ; Volkan, A. ; Georges, S.
Author_Institution :
Universite Paris 5
Abstract :
This paper deals with how to characterize texture and how to get a good description of images with a minimal number of parameters. This procedure is more objective than textual data. Texture characterization has been used in a matching system to detect changes in couples of aerial images taken at two different times using different order of statistics to describe images. The results are quite encouraging.
Keywords :
Business; Computer errors; Content based retrieval; Entropy; Frequency; Image matching; Image retrieval; Information retrieval; Neural networks; Statistics;
Conference_Titel :
Computer and Robot Vision, 2004. Proceedings. First Canadian Conference on
Conference_Location :
London, ON, Canada
Print_ISBN :
0-7695-2127-4
DOI :
10.1109/CCCRV.2004.1301467
