Subsurface Defect Detection in GPR Data Integrating Temporal and Spatial Features-Reference-Cited by-同舟云学术

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Subsurface Defect Detection in GPR Data Integrating Temporal and Spatial Features

Published:2024 Issue: Volume:17 Page:7773-7780
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Liu Kehui¹^ORCID,Deng Nan¹^ORCID,Wang Yanxia¹^ORCID,Tian Xuejun²^ORCID,Cheng Jian³^ORCID

Affiliation:

1. Institute of Urban Systems Engineering, Beijing Academy of Science and Technology, Beijing, China

2. Geophysical Exploration Academy, China Metallurgical Geology Bureau, Beijing, China

3. Research Institute of Mine Big Data, Chinese Institute of Coal Science, Beijing, China

Funder

Special Foundation for Science and Technology Innovation and Entrepreneurship of CCTEG

2023 Innovation project of Beijing Academy of Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10477399.pdf?arnumber=10477399

Reference34 articles.

1. Ground Penetrating Radar

2. Efficient Detection of Buried Plastic Pipes by Combining GPR and Electric Field Methods

3. An Underground Pipeline Mapping Method Based on Fusion of Multisource Data

4. Underground Anomaly Detection in GPR Data by Learning in the C3 Model Space

5. A Cable-Mapping Algorithm Based on Ground-Penetrating Radar

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