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Article Dans Une Revue Journal of Information Fusion Année : 2003

A fuzzy rule-based interactive fusion system for seismic data analysis

Résumé

The study presented in this paper concerns an interactive fusion system that uses the fuzzy set theory to detect regions in three-dimensional seismic images. To achieve detection of regions in 3D seismic images, attributes extracted from images are fused using geophysicist interpreter knowledge by means of a fuzzy rule-based classifier. The original contribution of this work lies in the means proposed to the end-user for tuning the fuzzy membership functions in a two-dimensional universe for particular 2D reference image sections. The proposed graphic user interface allows to obtain a better region detection compared with the detection obtained without fusion. Moreover, a confidence index, based on information theory concepts, is introduced. This index is based on a coefficient of attribute influence and provides some elucidation on how the fusion results have been obtained.

Dates et versions

hal-00514200 , version 1 (01-09-2010)

Identifiants

Citer

Lionel Valet, Gilles Mauris, Philippe Bolon, Naamen Keskes. A fuzzy rule-based interactive fusion system for seismic data analysis. Journal of Information Fusion, 2003, 4 (2), pp.123-133. ⟨10.1016/S1566-2535(03)00002-2⟩. ⟨hal-00514200⟩
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