Advances in automatic identification of road subsurface distress using ground penetrating radar: State of the art and future trends

C Liu, Y Du, G Yue, Y Li, D Wu, F Li - Automation in Construction, 2024 - Elsevier
Affected by soil erosion and material deterioration, road subsurface is prone to distress such
as cavities, water-rich, and cracks. Ground penetrating radar (GPR), as a real-time …

End-to-end deep learning model for underground utilities localization using GPR

Y Su, J Wang, D Li, X Wang, L Hu, Y Yao… - Automation in …, 2023 - Elsevier
Underground utilities (UUs) are key infrastructures in urban life operations. The localization
of UUs is vital to governments and residents in terms of asset management, utility planning …

Ground penetrating radar for buried utilities detection and mapping: a review

H Ali, NSM Ideris, AFA Zaidi, MSZ Azalan… - Journal of Physics …, 2021 - iopscience.iop.org
This paper presents a review on Ground Penetrating Radar (GPR) detection and mapping of
buried utilities which have been widely used as non-destructive investigation and efficiently …

A GANs-based deep learning framework for automatic subsurface object recognition from ground penetrating radar data

X Zhang, L Han, M Robinson, A Gallagher - IEEE Access, 2021 - ieeexplore.ieee.org
Ground penetrating radar (GPR) is a well-known useful tool for subsurface exploration. GPR
data can be recorded at a relatively high speed in a continuous way with hyperbolas being …

Hyperbola detection with RetinaNet and comparison of hyperbola fitting methods in GPR data from an archaeological site

T Wunderlich, D Wilken, BS Majchczack… - Remote Sensing, 2022 - mdpi.com
Hyperbolic diffractions in Ground Penetrating Radar (GPR) data are caused by a variety of
subsurface objects such as pipes, stones, or archaeological artifacts. Supplementary to their …

A large-scale multi-institutional evaluation of advanced discrimination algorithms for buried threat detection in ground penetrating radar

JM Malof, D Reichman, A Karem… - … on Geoscience and …, 2019 - ieeexplore.ieee.org
In this paper, we consider the development of algorithms for the automatic detection of
buried threats using ground penetrating radar (GPR) measurements. GPR is one of the most …

Joint Optimization of UAV Deployment and Directional Antenna Orientation for Multi-UAV Cooperative Sensing System

L Zhou, W Pu, Y Jiang, MY You… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) swarm-based sensing technology has become increasingly
important due to its exceptional maneuverability, versatile coverage capabilities, and …

Feature extraction based on empirical mode decomposition for shapes recognition of buried objects by ground penetrating radar

H Ali, MSZ Azalan, AFA Zaidi, TST Amran… - Journal of Physics …, 2021 - iopscience.iop.org
Ground penetrating radar (GPR) is one of the promising non-destructive imaging tools
investigations for shallow subsurface exploration such as locating and mapping the buried …

A new registration method with improved phase congruency for application to GPR images

P Zhang, L Shen, X Huang, Q Xin - Remote Sensing Letters, 2022 - Taylor & Francis
In this letter, we propose an edge detection algorithm and a framework of points matching for
ground penetrating radar (GPR) images to achieve the B-Scan image registration of GPR. In …

Deep learning based automatic hyperbola detection on GPR data for buried utility pipes mapping

R Jaufer, A Ihamouten, D Guilbert… - 2021 11th …, 2021 - ieeexplore.ieee.org
Ground Penetrating Radar (GPR) is a Non-destructive Testing (NDT) method used to
investigate subsurface conditions of civil engineering structures and locate buried objects …