Abstract
Acoustical characterization of surface acoustic waves which propagate along the water-sediment interface is of great interest for numerous underwater applications. One of the main motivations of such studies is the possible use of interface waves (often called Scholte waves) for the non-invasive characterization of sedimentary bottoms [1]. The aim of this paper is to illustrate the possible estimation of the acoustical and geometrical (thickness) parameters of a sedimentary layer from the analysis of the velocity dispersion of interface waves. The strategy developped to solve the inverse problem is based on a neural network approach.
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References
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© 1995 Springer Science+Business Media Dordrecht
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Guilbot, J., Magand, F. (1995). Determination of the Geoacoustical Parameters of a Sedimentary Layer from Surface Acoustic Waves: A Neural Network Approach. In: Diachok, O., Caiti, A., Gerstoft, P., Schmidt, H. (eds) Full Field Inversion Methods in Ocean and Seismo-Acoustics. Modern Approaches in Geophysics, vol 12. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8476-0_28
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DOI: https://doi.org/10.1007/978-94-015-8476-0_28
Publisher Name: Springer, Dordrecht
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