Inversion of roughness parameters of self-affine surfaces from backscattered waves

被引:60
作者
Gautier, S
Gibert, D
机构
[1] CNRS, INSU, Geosci Azur, UMR 6526, F-06560 Valbonne, France
[2] CNRS, INSU, UMR 6118, Geosci Rennes, F-35042 Rennes, France
关键词
Bayesian inversion; fractal; Hurst exponent; surface characterization; wave scattering;
D O I
10.1111/j.1365-246X.2005.02500.x
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
We propose an inverse method to recover the roughness parameters (altitude range Delta h(0), and Hurst exponent H) of self-affine surfaces from the energy spectrum of backscattered waves. A stochastic forward modelling of the spectrum of the backscattered wavefield averaged along a profile of finite length is proposed in the near-nadir and far-field configuration. A Bayesian formulation of the inverse problem is used to account for the random nature of both the data and the forward problem. An acoustic backscattering experiment is performed with a natural rough self-affine surface for which Delta h(0) and H are determined through direct measurements of the topography. The inversion of the experimental spectrum of the backscattered acoustic waves shows that a good determination of H is possible, while Delta h(0) is an unresolved parameter.
引用
收藏
页码:797 / 803
页数:7
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