Reconstruction of 3-D dielectric objects from measured data
Chun Yu, Mengqing Yuan, Qing Liu
Abstract
Chun Yu, Mengqing Yuan, Qing Liu
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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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