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 …

3DInvNet: A deep learning-based 3D ground-penetrating radar data inversion

Q Dai, YH Lee, HH Sun, G Ow… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
The reconstruction of the 3D permittivity map from ground-penetrating radar (GPR) data is of
great importance for map** subsurface environments and inspecting underground …

Real-data-driven real-time reconfigurable microwave reflective surface

E Wen, X Yang, DF Sievenpiper - Nature Communications, 2023 - nature.com
Manipulating the electromagnetic (EM) scattering behavior from an arbitrary surface
dynamically on arbitrary design goals is an ultimate ambition for many EM stealth and …

[HTML][HTML] Crack unet: crack recognition algorithm based on three-dimensional ground penetrating radar images

J Tang, C Chen, Z Huang, X Zhang, W Li, M Huang… - Sensors, 2022 - mdpi.com
Three-dimensional (3D) ground-penetrating radar is an effective method for detecting
internal crack damage in pavement structures. Inefficient manual interpretation of radar …

Automatic detection of road subsurface distress utilizing ground penetrating radar technology: A state-of-the-art review

L Cui, L Li, W Zhang, F Sun, D Fan, H Zhang, F Jiao… - Measurement, 2025 - Elsevier
Early detection of subsurface distress is significant for condition assessment and
maintenance optimization, contributing to reduced maintenance costs and extended service …

Deep Learning-Augmented Stand-off Radar Scheme for Rapidly Detecting Tree Defects

J Qian, YH Lee, K Cheng, Q Dai… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Tree defect detection is crucial for the structural health screening of trees. The existing
nondestructive testing (NDT) techniques for tree defect detection require time-consuming …

Semisupervised deep neural network-based cross-frequency ground-penetrating radar data inversion

H Liu, J Wang, J Zhang, H Jiang, J Xu… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Ground-penetrating radar (GPR) with different center frequencies can detect defects at
different depths with a range of resolutions enabling it to be used for subsurface defect …

An Attention U-Net Based Improved Clutter Suppression in GPR Images

SL Panda, UK Sahoo, S Maiti… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The existence of strong background clutter often masks the desired target response, and
thereby significantly affects the ground-penetrating radar (GPR) target detection. This effect …

Improved 3-D representation of GPR pipelines B-scan sequences using a neural network framework

T Xu, D Yuan, P Wang, G Yang, B Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Ground-penetrating radar (GPR) is an efficient nondestructive testing tool used for detecting
and locating buried pipelines. It helps to avoid interference with existing pipelines and …

FM-GAN: Forward modeling network for generating approaching-reality B-scans of GPR pipelines with transformer tuning

T Xu, D Yuan, G Yang, B Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Ground-penetrating radar (GPR) forward modeling holds significant importance in the
realms of geological exploration, subsurface target detection, and scientific research. With …