Geometric Parameter Estimation of Buried Objects in Near-Field Microwave Images-Reference-Cited by-同舟云学术

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Geometric Parameter Estimation of Buried Objects in Near-Field Microwave Images

Published:2022 Issue: Volume:19 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Ren Kai^ORCID,Burkholder Robert J.^ORCID

Funder

PaneraTech, Inc., a member of the NSF Connection One Consortium

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/9651998/09261593.pdf?arnumber=9261593

Cited by 4 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. Generative Adversarial Network Applied to Electromagnetic Imaging of Buried Objects;Sensors and Materials;2024-07-24

2. Deep Learning Based High-Resolution Edge Detection for Microwave Imaging using a Variational Autoencoder;2023 13th International Conference on Computer and Knowledge Engineering (ICCKE);2023-11-01

3. Electromagnetic Imaging for Buried Conductors Using Deep Convolutional Neural Networks;Applied Sciences;2023-06-02

4. Experimental Demonstration of Geometric Parameter Estimation of Hidden Objects in Layered Media;2022 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM);2022-01-04

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