Efficient Deep-Learning-Driven Sparse-Target Imaging Method for Array Borehole Radar in Nonuniform Medium-Reference-Cited by-同舟云学术

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Efficient Deep-Learning-Driven Sparse-Target Imaging Method for Array Borehole Radar in Nonuniform Medium

Published:2024 Issue: Volume:62 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Tian Yutong¹^ORCID,Yang Haining¹^ORCID,Yi Shijia¹,Li Tingjun¹,Li Na²,Liu Qing Huo³^ORCID

Affiliation:

1. School of Electronic Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China

2. School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China

3. Eastern Institute of Technology, Ningbo, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing, China

Guangdong Basic and Applied Basic Research Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10373135.pdf?arnumber=10373135

Reference56 articles.

1. Analysis of Cross-Borehole Pulse Radar Signatures on a Terminated Tunnel With Various Penetration Lengths

2. Suppression of Borehole-Guided Waves Supported by the Connection Cable of a Single-Borehole Monostatic Pulse Radar

3. Fractal-Constrained Crosshole/Borehole-to-Surface Full-Waveform Inversion for Hydrogeological Applications Using Ground-Penetrating Radar

4. Hydrogeophysical characterization and determination of petrophysical parameters by integrating geophysical and hydrogeological data at the limestone vadose zone of the Beauce aquifer

5. Hydrogeological characteristics of foot caves in a karst peak-forest plain in South China

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