Neural Born Iterative Method for Solving Inverse Scattering Problems: 2D Cases-Reference-Cited by-同舟云学术

Neural Born Iterative Method for Solving Inverse Scattering Problems: 2D Cases

Published:2023-01 Issue:1 Volume:71 Page:818-829
ISSN:0018-926X
Container-title:IEEE Transactions on Antennas and Propagation
language:
Short-container-title:IEEE Trans. Antennas Propagat.

Author:

Shan Tao¹^ORCID,Lin Zhichao¹^ORCID,Song Xiaoqian²,Li Maokun¹^ORCID,Yang Fan¹^ORCID,Xu Shenheng¹^ORCID

Affiliation:

1. Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China

2. National Institute of Metrology, Beijing, China

Funder

Institute for Precision Medicine, Tsinghua University

National Natural Science Foundation of China

Biren Technology

BGP Inc.

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8/10021137/09934007.pdf?arnumber=9934007

Reference51 articles.

1. Learning-Assisted Multimodality Dielectric Imaging

2. Deep-Learning Schemes for Full-Wave Nonlinear Inverse Scattering Problems

3. Deep Learning-Based Inversion Methods for Solving Inverse Scattering Problems With Phaseless Data

4. Supervised Descent Learning Technique for 2-D Microwave Imaging

5. Artificial Intelligence: New Frontiers in Real-Time Inverse Scattering and Electromagnetic Imaging

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