2009Unpublished venueRequires access

Reconstruction of 3-D dielectric objects from measured data

Chun Yu, Mengqing Yuan, Qing Liu

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Abstract

Electromagnetic inverse scattering has widespread applications in biomedical imaging, nondestructive evaluation, and subsurface sensing. However, in general the inverse scattering problem is nonlinear, ill-posed, and computationally demanding. This is especially true for three-dimensional inverse scattering problems, where there are few demonstrated inverse scattering methods. Furthermore, in many inverse scattering methods, the forward scattering methods are necessary, so the efficiency of forward scattering is also an important issue.

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What this paper is about

Electromagnetic inverse scattering has widespread applications in biomedical imaging, nondestructive evaluation, and subsurface sensing. However, in general the inverse scattering problem is nonlinear, ill-posed, and computationally demanding. This is especially true for three-dimensional inverse scattering problems, where there are few demonstrated inverse scattering methods. Furthermore, in many inverse scattering methods, the forward scattering methods are necessary, so the efficiency of forward scattering is also an important issue.

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Available abstract

Electromagnetic inverse scattering has widespread applications in biomedical imaging, nondestructive evaluation, and subsurface sensing. However, in general the inverse scattering problem is nonlinear, ill-posed, and computationally demanding. This is especially true for three-dimensional inverse scattering problems, where there are few demonstrated inverse scattering methods. Furthermore, in many inverse scattering methods, the forward scattering methods are necessary, so the efficiency of forward scattering is also an important issue.

Key concepts: Inverse scattering problem, Scattering, Inverse problem, Inverse, Quantum inverse scattering method, Inverse scattering transform, X-ray scattering techniques, Dielectric

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