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

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...

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Bibliographic Details
Main Authors: Farah, I.R., Ahmed, M.B.
Format: Conference Proceeding
Language:English
Subjects:
Blind source separation
Image analysis
Image classification
Knowledge based systems
Laser radar
Optical sensors
Radar imaging
Radar remote sensing
Satellites
Source separation
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Summary: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.
DOI:10.1109/ICTTA.2004.1307766