Analyzing satellite image with blind separation of sources, knowledge based system and fusion of multisource images

Author

Farah, I.R. ; Ahmed, M.B.

Author_Institution

Lab. de Recherche en Informatique Arabisee et Documentique Integree, Ecole Nat. des Sci. de l´´Informatique, Tunis, Tunisie

fYear

2004

fDate

19-23 April 2004

Firstpage

337

Abstract

In this paper, an intelligent satellite image analysis is proposed from blind source separation (BSS) method, knowledge based system and fusion of multisource images. The experimental results demonstrate that the proposed hybrid method provides an effective intelligent technique for remotely sensed images classification. This approach is validated on optical images of the satellite SPOT4 and radar images of the satellite ERS2 acquiring on the central Tunisian region for five classes of land.

Keywords

blind source separation; image classification; knowledge based systems; remote sensing; satellite communication; sensor fusion; BSS; blind source separation; data fusion; intelligent satellite image analysis; knowledge based system; multisource image; remotely sensed images classification; Blind source separation; Image analysis; Image classification; Knowledge based systems; Laser radar; Optical sensors; Radar imaging; Radar remote sensing; Satellites; Source separation;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technologies: From Theory to Applications, 2004. Proceedings. 2004 International Conference on

Print_ISBN

0-7803-8482-2

Type

conf

DOI

10.1109/ICTTA.2004.1307766

Filename

1307766