Possibilistic fusion for landcover mapping using correlated satellite imagery for environmental change

Authors:
Shaheera Rashwan;M. A. Ismail;Soheir Fouad
Affiliations:
Informatics Research Institute, MuCScat, Borg ElArab, Alex, Egypt;Computer Science Department, Faculty of Engineering, University of Alexandria, Alexandria, Egypt;Computer Science Department, Faculty of Engineering, University of Alexandria, Alexandria, Egypt
Venue:
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
Year:
2006

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Abstract

To acquire detection performance required for an operational system in the detection for satellite image for environmental change, it is necessary to use multiple images over years to know the environmental changes over years. This paper describes a method for decision-level fusion technique where the fusion can compensate for correlation among images. The fusion is done using possibilistic combiners based on T-norms families that better represent the correlation of images. This technique was applied to Nile River Delta, Egypt (1973, 1987). These images show the dramatic urban growth within the Nile River delta and the expansion of agriculture into adjoining desert areas.