[BOOK][B] Computational methods for electromagnetic inverse scattering
X Chen - 2018 - books.google.com
A comprehensive and updated overview of the theory, algorithms and applications of for
electromagnetic inverse scattering problems Offers the recent and most important advances …
electromagnetic inverse scattering problems Offers the recent and most important advances …
Application of machine learning in electromagnetics: Mini-review
As an integral part of the electromagnetic system, antennas are becoming more advanced
and versatile than ever before, thus making it necessary to adopt new techniques to …
and versatile than ever before, thus making it necessary to adopt new techniques to …
Deep learning-based inversion methods for solving inverse scattering problems with phaseless data
Without phase information of the measured field data, the phaseless data inverse scattering
problems (PD-ISPs) counter more serious nonlinearity and ill-posedness compared with full …
problems (PD-ISPs) counter more serious nonlinearity and ill-posedness compared with full …
Physical model-inspired deep unrolling network for solving nonlinear inverse scattering problems
In this article, to bridge the gap between the traditional model-based methods and data-
driven deep learning schemes, we propose a physical model-inspired deep unrolling …
driven deep learning schemes, we propose a physical model-inspired deep unrolling …
An FFT twofold subspace-based optimization method for solving electromagnetic inverse scattering problems
A fast Fourier transform (FFT) twofold subspace-based optimization method (TSOM) is
proposed to solve electromagnetic inverse scattering problems. As mentioned in the original …
proposed to solve electromagnetic inverse scattering problems. As mentioned in the original …
Multiresolution subspace-based optimization method for inverse scattering problems
This paper investigates an approach to inverse scattering problems based on the integration
of the subspace-based optimization method (SOM) within a multifocusing scheme in the …
of the subspace-based optimization method (SOM) within a multifocusing scheme in the …
An iterative domain decomposition technique based on subspace-based optimization method for solving highly nonlinear inverse problem
Due to the strong nonlinearity, it is always a challenge to reconstruct strong scatterers with
high contrasts and/or large dimensions. This article proposes an iterative domain …
high contrasts and/or large dimensions. This article proposes an iterative domain …
Subspace-based optimization method for inverse scattering problems utilizing phaseless data
This paper presents a novel variation of the subspace-based optimization method (SOM) to
reconstruct the scatterer's permittivity profile by utilizing only phaseless measurements (ie …
reconstruct the scatterer's permittivity profile by utilizing only phaseless measurements (ie …
Cascaded complex U-Net model to solve inverse scattering problems with phaseless-data in the complex domain
F Luo, J Wang, J Zeng, L Zhang… - … on Antennas and …, 2021 - ieeexplore.ieee.org
The phaseless-data inverse scattering problems (PD-ISPs) are non-trivial due to their
serious nonlinearity and ill-posed nature. The conventional methods for PD-ISPs can be …
serious nonlinearity and ill-posed nature. The conventional methods for PD-ISPs can be …
A compressive-sensing-based phaseless imaging method for point-like dielectric objects
We construct a linear system for the intrinsically nonlinear problem of imaging point-like
dielectric scatterers with phaseless measurement, so as to adapt it to the emerging …
dielectric scatterers with phaseless measurement, so as to adapt it to the emerging …