Born Iterative Method Based on Convolutional Dictionary Learning for Inverse Scattering Problems-Reference-Cited by-同舟云学术

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Born Iterative Method Based on Convolutional Dictionary Learning for Inverse Scattering Problems

Published:2023-01 Issue:1 Volume:22 Page:54-58
ISSN:1536-1225
Container-title:IEEE Antennas and Wireless Propagation Letters
language:
Short-container-title:Antennas Wirel. Propag. Lett.

Author:

Xie Longhao¹^ORCID,Huang Yao²^ORCID,Huo Jianjian³,Zhao Qing¹^ORCID

Affiliation:

1. School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China

2. School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China

3. Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China

Funder

China Scholarship Council

Sichuan Science and Technology program

Ningbo nature science Foundation

Key R&D projects in Sichuan province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/7727/10007731/09866838.pdf?arnumber=9866838

Reference28 articles.

1. Ü-Net: Deep-Learning Schemes for Ground Penetrating Radar Data Inversion

2. DNNs as Applied to Electromagnetics, Antennas, and Propagation—A Review

3. Deep dictionary learning application in GPR B-scan images

4. Physics-Inspired Convolutional Neural Network for Solving Full-Wave Inverse Scattering Problems

5. A New Scheme Based on Born Iterative Method for Solving Inverse Scattering Problems With Noise Disturbance

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