New trends in electromagnetic inverse problems

DOI10.1088/1361-6420/ad98bdMaRDI QIDQ6659668

No author found.

Publication date: 9 January 2025

Published in: Inverse Problems (Search for Journal in Brave)

Mathematics Subject Classification ID

PDEs in connection with optics and electromagnetic theory (35Q60) Collections of articles of miscellaneous specific interest (00B15) Inverse problems for PDEs (35R30) Proceedings, conferences, collections, etc. pertaining to partial differential equations (35-06) Proceedings, conferences, collections, etc. pertaining to optics and electromagnetic theory (78-06) Inverse problems (including inverse scattering) in optics and electromagnetic theory (78A46)

Cites Work

• Free space experimental scattering database continuation: experimental set-up and measurement precision
• Introduction to the special issue on electromagnetic inverse problems: emerging methods and novel applications
• Fundamentals of Radar Imaging
• State estimation approach to dual-modal imaging of two-phase flow based on electromagnetic flow tomography and electrical tomography
• 3D refractive index reconstruction from phaseless coherent optical microscopy data using multiple scattering-based inverse solvers—a study
• A direct sampling-based deep learning approach for inverse medium scattering problems
• Bayesian design of measurements for magnetorelaxometry imaging ^*
• A deep learning enhanced inverse scattering framework for microwave imaging of piece-wise homogeneous targets
• Geometric approach for determining stationary phase points in radar imaging
• Estimation of the Born data in inverse scattering of layered media
• Microwave time reversal for nondestructive testing of buried small damage in composite materials
• MiPhDUO: microwave imaging via physics-informed deep unrolled optimization
• Imaging of nonlinear materials via the Monotonicity Principle
• Solving inverse scattering problems via reduced-order model embedding procedures
• Assessing the potential of using a virtual Veselago lens in quantitative microwave imaging
• Magnetic characterization of steel strips using transient field measurements: global sensitivity analysis and regression from a machine-learning perspective
• Shape and orientation classification of objects based on their electromagnetic signatures using convolutional neural networks
• Reconstruction of averaging indicators for highly heterogeneous media
• Quantifying predictive uncertainty in damage classification for nondestructive evaluation using Bayesian approximation and deep learning
• Image analysis and resolution for detection-based synthetic-aperture passive source localization
• Contrast source inversion of sparse targets through multi-resolution Bayesian compressive sensing
• Application of a mild data-driven technique to Lippmann-Schwinger inverse scattering in variable-exponent Lebesgue spaces for microwave imaging
• A residual fully convolutional network (Res-FCN) for electromagnetic inversion of high contrast scatterers at an arbitrary frequency within a wide frequency band
• Feasibility of acousto-electric tomography
• Resolving full-wave through-wall transmission effects in multi-static synthetic aperture radar

This page was built for publication: New trends in electromagnetic inverse problems