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Proceedings Paper

Automatic recognition of multidimensional objects buried in layered elastic background media
Author(s): Eveline J. Ayme-Bellegarda; Tarek M. Habashy; Jerome R. Bellegarda
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Paper Abstract

This study focuses on the multidimensional inverse scattering of objects buried in an inhomogeneous elastic background structure. The medium is probed by an ultrasonic force, and the scattered field is observed along a receiver array. The goal is to retrieve both the geometry (imaging problem) and the constitutive parameters (inverse problem) of the object through an appropriate multiparameter direct linear inversion. The multidimensional inverse scattering problem being nonlinear and ill-posed, it is linearized within the Born approximation for inhomogeneous background, and a minimum-norm least-square solution to the discretized version of the vector integral formulation is sought. The solution is based on a singular value decomposition of the forward operator matrix. A priori information can be incorporated into the algorithm to enhance the accuracy and improve the resolution of the recovered object characteristics. The method is illustrated on a 2-D problem where constrained least-square inversion of the object is performed from synthetic data. A Tikhonov regularization scheme is also examined and compared to the minimum-norm least-square estimate.

Paper Details

Date Published: 1 August 1991
PDF: 12 pages
Proc. SPIE 1471, Automatic Object Recognition, (1 August 1991); doi: 10.1117/12.44863
Show Author Affiliations
Eveline J. Ayme-Bellegarda, IBM/Thomas J. Watson Research Ctr. (United States)
Tarek M. Habashy, Schlumberger-Doll Research (United States)
Jerome R. Bellegarda, IBM/Thomas J. Watson Research Ctr. (United States)

Published in SPIE Proceedings Vol. 1471:
Automatic Object Recognition
Firooz A. Sadjadi, Editor(s)

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