Enhanced Two-Step Deep-Learning Approach for Electromagnetic-Inverse-Scattering Problems: Frequency Extrapolation and Scatterer Reconstruction-Reference-Cited by-同舟云学术

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Enhanced Two-Step Deep-Learning Approach for Electromagnetic-Inverse-Scattering Problems: Frequency Extrapolation and Scatterer Reconstruction

Published:2023-02 Issue:2 Volume:71 Page:1662-1672
ISSN:0018-926X
Container-title:IEEE Transactions on Antennas and Propagation
language:
Short-container-title:IEEE Trans. Antennas Propagat.

Author:

Zhang Huan Huan¹^ORCID,Yao He Ming²^ORCID,Jiang Lijun³^ORCID,Ng Michael²

Affiliation:

1. National Key Laboratory of Antennas and Microwave Technology, Xidian University, Xi’an, China

2. Department of Mathematics, The University of Hong Kong, Hong Kong, China

3. Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China

Funder

Hong Kong Research Grant Council

Fellowship Award from the Research Grants Council of the Hong Kong Special Administrative Region, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8/10035677/09970516.pdf?arnumber=9970516

Reference45 articles.

1. Computational recipes for electromagnetic inverse problems

2. A frequency-hopping approach for microwave imaging of large inhomogeneous bodies

3. Testing the contrast source extended Born inversion method against real data: the TM case

4. The Nonsubsampled Contourlet Transform: Theory, Design, and Applications

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