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Embedding deep learning in inverse scattering problems
In this paper, we introduce a deep-learning-based framework to solve electromagnetic
inverse scattering problems. This framework builds on and extends the capabilities of …
inverse scattering problems. This framework builds on and extends the capabilities of …
Microwave imaging within the first-order Born approximation by means of the contrast-field Bayesian compressive sensing
A new approach based the contrast field (CF) formulation of the microwave imaging problem
that exploits the Bayesian compressive sampling (BCS) paradigm is proposed for the …
that exploits the Bayesian compressive sampling (BCS) paradigm is proposed for the …
Constrained design of passive static EM skins
An innovative approach based on an inverse source (IS) formulation is introduced for the
design of constrained static-passive electromagnetic skins (SP-EMSs). By leveraging on the …
design of constrained static-passive electromagnetic skins (SP-EMSs). By leveraging on the …
Wavelet-based compressive imaging of sparse targets
The application of the compressive sensing (CS) paradigm to retrieve non-single-pixels
contrast profiles is discussed. By exploiting a wavelet representation to model complex …
contrast profiles is discussed. By exploiting a wavelet representation to model complex …
MT–BCS-based microwave imaging approach through minimum-norm current expansion
An innovative three-step technique based on the multi-task Bayesian compressive sensing
(MT-BCS) strategy is introduced to image 2D-sparse dielectric profiles. The proposed …
(MT-BCS) strategy is introduced to image 2D-sparse dielectric profiles. The proposed …
Bayesian compressive sensing approaches for the reconstruction of two-dimensional sparse scatterers under TE illuminations
In this paper, the reconstruction of sparse scatterers under multiview transverse-electric
illumination is dealt with. Starting from a probabilistic formulation of the “inverse source” …
illumination is dealt with. Starting from a probabilistic formulation of the “inverse source” …
A new integral equation method to solve highly nonlinear inverse scattering problems
Y Zhong, M Lambert, D Lesselier… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
A family of new integral equations (NIE) is proposed in this paper, which are transformed
from the original Lippmann-Schwinger integral equation. It can be shown that the NIE can …
from the original Lippmann-Schwinger integral equation. It can be shown that the NIE can …
Bayesian compressive optical imaging<? A3B2 show [pmg: line-break justify=" yes"/]?> within the Rytov approximation
Within the range of validity of the Rytov approximation (RA), an innovative Bayesian
compressive sensing (BCS) inverse scattering technique is developed. Potentialities and …
compressive sensing (BCS) inverse scattering technique is developed. Potentialities and …
A physics-induced deep learning scheme for electromagnetic inverse scattering
This article studies the full-wave electromagnetic inverse scattering (EMIS) problem that
aims to retrieve the permittivities of dielectric scatterers based on the knowledge of …
aims to retrieve the permittivities of dielectric scatterers based on the knowledge of …
A multiresolution contraction integral equation method for solving highly nonlinear inverse scattering problems
The solution of highly nonlinear inverse scattering problems is addressed. An innovative
multiresolution microwave imaging technique, which leverages on the profitable integration …
multiresolution microwave imaging technique, which leverages on the profitable integration …