Application of Generative Adversarial Network-Based Inversion Algorithm in Imaging 2-D Lossy Biaxial Anisotropic Scatterer-Reference-Cited by-同舟云学术

Application of Generative Adversarial Network-Based Inversion Algorithm in Imaging 2-D Lossy Biaxial Anisotropic Scatterer

Published:2022-09 Issue:9 Volume:70 Page:8262-8275
ISSN:0018-926X
Container-title:IEEE Transactions on Antennas and Propagation
language:
Short-container-title:IEEE Trans. Antennas Propagat.

Author:

Ye Xiuzhu¹^ORCID,Du Naike¹,Yang Daohan²,Yuan Xujin³^ORCID,Song Rencheng⁴^ORCID,Sun Sheng⁵^ORCID,Fang Daining³

Affiliation:

1. School of Information and Electronics Engineering, Beijing Institute of Technology, Beijing, China

2. School of Electrical Engineering, Beihang University, Beijing, China

3. Beijing Key Laboratory of Lightweight Multifunctional Composite Materials and Structures, Institute of Advanced Structure Technology, Beijing Institute of Technology, Beijing, China

4. School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei, China

5. School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

Funder

Natural National Science Foundation of China

Fund of Key Laboratory for Information Science of Electromagnetic Waves

Beijing Institute of Technology Research Fund Program for Young Scholars

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8/9913789/09751403.pdf?arnumber=9751403

Reference37 articles.

1. Understanding deep image representations by inverting them

2. Nonlinear total variation based noise removal algorithms

3. Very deep convolutional networks for large-scale image recognition;simonyan;Proc Int Conf Learn Represent,2014

4. Meta Soft Label Generation for Noisy Labels

5. Computational Methods for Electromagnetic Inverse Scattering

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Convolutional Neural Network with Multifrequency and Structural Similarity Loss Functions for Electromagnetic Imaging;Sensors;2024-08-01

2. Generative Adversarial Network Applied to Electromagnetic Imaging of Buried Objects;Sensors and Materials;2024-07-24

3. Electromagnetic Imaging of Uniaxial Objects by Two-Step Neural Network;Applied Sciences;2024-06-27

4. Uncertainty Nonlinearly Guided Learning Framework for Full-Wave Inverse Scattering;IEEE Transactions on Microwave Theory and Techniques;2024

5. Inhomogeneous Media Inverse Scattering Problem Assisted by Swin Transformer Network;IEEE Transactions on Microwave Theory and Techniques;2024