A More General Electromagnetic Inverse Scattering Method Based on Physics-Informed Neural Network
Author:
Affiliation:
1. School of Physics, University of Electronic Science and Technology of China, Chengdu, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10203003.pdf?arnumber=10203003
Reference27 articles.
1. Physics-Inspired Convolutional Neural Network for Solving Full-Wave Inverse Scattering Problems
2. DeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering
3. Physics Embedded Deep Neural Network for Solving Full-wave Inverse Scattering Problems
4. SOM-Net: Unrolling the Subspace-Based Optimization for Solving Full-Wave Inverse Scattering Problems
5. Subspace-Based Optimization Method for Solving Inverse-Scattering Problems
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