SOM-Net: Unrolling the Subspace-Based Optimization for Solving Full-Wave Inverse Scattering Problems-Reference-Cited by-同舟云学术

SOM-Net: Unrolling the Subspace-Based Optimization for Solving Full-Wave Inverse Scattering Problems

Published:2022 Issue: Volume:60 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Liu Yu¹^ORCID,Zhao Hao¹,Song Rencheng¹^ORCID,Chen Xudong²^ORCID,Li Chang¹^ORCID,Chen Xun³^ORCID

Affiliation:

1. Department of Biomedical Engineering and the Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, Hefei University of Technology, Hefei, China

2. Department of Electrical and Computer Engineering, National University of Singapore, Queenstown, Singapore

3. Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China

Funder

National Natural Science Foundation of China

Provincial Natural Science Foundation of Anhui

Anhui Key Project of Research and Development Plan

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09930799.pdf?arnumber=9930799

Reference40 articles.

1. Free space experimental scattering database continuation: experimental set-up and measurement precision

2. A Phaseless Extended Rytov Approximation for Strongly Scattering Low-Loss Media and Its Application to Indoor Imaging

3. A Probabilistic Model for the Nonlinear Electromagnetic Inverse Scattering: TM Case

4. Physics Embedded Deep Neural Network for Solving Full-wave Inverse Scattering Problems

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