Microwave imaging is emerging as an alternative modality to conventional medical
diagnostics technologies. However, its adoption is hindered by the intrinsic difficulties faced …

Two long-standing problems exist in the high-frequency electromagnetic scattering analysis:
1) full-wave methods suffer a geometric increase in computational costs, along with the …

In this article, we investigate the virtual experiments (VE) setting by means of analytical
solution of the far-field equation, that is the equation underlying the linear sampling method …

In this paper, we present the microwave imaging of anisotropic objects by artificial
intelligence technology. Since the biaxial anisotropic scatterers have different dielectric …

Starting from the observation that the correlation coefficient defined by the scattered field
data tested by two adjacent antennas decreases with noise, it turns out that the imaging …

In this paper, we present a framework for the solution of inverse scattering problems that
integrates traditional imaging methods and deep learning. The goal is to image piece-wise …

An electromagnetic imaging (EMI) framework is proposed based on contrast-source (CS)
formulation. The CS data and state misfits are cast to form a multi-cost problem. The …

We focus on some recent advances in solution methods for the inverse scattering problem.
In particular, attention is concentrated on the virtual experiments framework and the …

Microwave Imaging is an essential technique for reconstructing the electrical properties of
an inaccessible medium. Many approaches have been proposed employing algorithms to …

O Imageamento em Microondas é uma importante técnica de teste e avaliação não-
destrutiva e não-invasiva com muitas aplicações em diversas áreas, como em exames …