A Data-Efficient Deep Learning Method for Rough Surface Clutter Reduction in GPR Images-Reference-Cited by-同舟云学术

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A Data-Efficient Deep Learning Method for Rough Surface Clutter Reduction in GPR Images

Published:2024 Issue: Volume:62 Page:1-10
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhang Yan¹^ORCID,Diao Enmao²,Huston Dryver³^ORCID,Xia Tian¹^ORCID

Affiliation:

1. Department of Electrical and Biomedical Engineering, University of Vermont, Burlington, VT, USA

2. Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA

3. Department of Mechanical Engineering, University of Vermont, Burlington, VT, USA

Funder

Broad Agency Announcement Program and the Cold Regions Research and Engineering Laboratory

Office of Navy Research

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/36/10354519/10480715-aam.pdf

Reference43 articles.

1. An overview of ground-penetrating radar signal processing techniques for road inspections

2. 3-D Multistatic Ground Penetrating Radar Imaging for Augmented Reality Visualization

3. Automatic hyperbola detection and fitting in GPR B-scan image

4. GPR target detection using a neural network classifier designed by a multi-objective genetic algorithm

5. Ground Clutter Removal in GPR Surveys

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