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Advances in automatic identification of road subsurface distress using ground penetrating radar: State of the art and future trends
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 …
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
The reconstruction of the 3D permittivity map from ground-penetrating radar (GPR) data is of
great importance for map** subsurface environments and inspecting underground …
great importance for map** subsurface environments and inspecting underground …
Real-data-driven real-time reconfigurable microwave reflective surface
Manipulating the electromagnetic (EM) scattering behavior from an arbitrary surface
dynamically on arbitrary design goals is an ultimate ambition for many EM stealth and …
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 …
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 …
maintenance optimization, contributing to reduced maintenance costs and extended service …
Deep Learning-Augmented Stand-off Radar Scheme for Rapidly Detecting Tree Defects
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 …
nondestructive testing (NDT) techniques for tree defect detection require time-consuming …
Semisupervised deep neural network-based cross-frequency ground-penetrating radar data inversion
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 …
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
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 …
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 …
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 …
realms of geological exploration, subsurface target detection, and scientific research. With …