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Article Dans Une Revue IEEE Transactions on Instrumentation and Measurement Année : 2001

Seismic Image Segmentation by Fuzzy Fusion of Attributes

Résumé

Nowadays, petroleum companies want to nd some deposits to be explored in future years. To know the subsoil organization, Geophysicists try to interpret seismic images acquired by sending acoustic waves in the soil. This paper presents a method for the segmentation of these images in geological regions in order to help interpreters in their study. Information fusion of image attributes allows to solve part of this complex problem. To realize aggregation, the fuzzy subset theory is an appropriate tool to code interpreter knowledge by a set of rules. The results obtained are promising and show the necessity to evaluate their quality more thoroughly.
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Dates et versions

hal-00514164 , version 1 (01-09-2010)

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  • HAL Id : hal-00514164 , version 1

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Lionel Valet, Gilles Mauris, Philippe Bolon, Naamen Keskes. Seismic Image Segmentation by Fuzzy Fusion of Attributes. IEEE Transactions on Instrumentation and Measurement, 2001, 50 (4), pp.1014-1018. ⟨hal-00514164⟩
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