Reinforced inverse scattering
From MaRDI portal
Publication:6654571
DOI10.1137/22m153207xMaRDI QIDQ6654571
Hanyang Jiang, Haizhao Yang, Yuehaw Khoo
Publication date: 20 December 2024
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
Artificial neural networks and deep learning (68T07) Wave scattering in solid mechanics (74J20) Inverse problems (including inverse scattering) in optics and electromagnetic theory (78A46)
Cites Work
- Inverse acoustic and electromagnetic scattering theory.
- \({\mathcal Q}\)-learning
- Inverse acoustic obstacle scattering problems using multifrequency measurements
- On an artificial neural network for inverse scattering problems
- Solving inverse wave scattering with deep learning
- Inverse scattering by a continuation method with initial guesses from a direct imaging algorithm
- New stability estimates for the inverse acoustic inhomogeneous medium problem and applications
- Sensitivity analysis of an inverse problem for the wave equation with caustics
- Fourier method for recovering acoustic sources from multi-frequency far-field data
- Data-driven inversion/depth imaging derived from approximations to one-dimensional inverse acoustic scattering
- On the stability of an inverse problem for the wave equation
- Mathematical problems in radar inverse scattering
- Inverse scattering via Heisenberg's uncertainty principle
- Inverse scattering series and seismic exploration
- Levenberg–Marquardt level set methods for inverse obstacle problems
- Inverse Scattering Via Virtual Experiments and Contrast Source Regularization
- SwitchNet: A Neural Network Model for Forward and Inverse Scattering Problems
- Inverse Obstacle Scattering in Two Dimensions with Multiple Frequency Data and Multiple Angles of Incidence
- High Resolution Inverse Scattering in Two Dimensions Using Recursive Linearization
- The numerical realization of the probe method for the inverse scattering problems from the near-field data
- On the robustness of inverse scattering for penetrable, homogeneous objects with complicated boundary
- The linear sampling method and the MUSIC algorithm
This page was built for publication: Reinforced inverse scattering