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 …

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 …

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 …

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 …

Automatic Dual-Polarized Ground Penetrating Radar for Enhanced 3D Tree Roots System Architecture Reconstruction

W Luo, YH Lee, T Hao, MLM Yusof… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Tree root systems are crucial for providing structural support and stability to trees. However,
in urban environments, they can pose challenges due to potential conflicts with the …

FusionInv-GAN: Advancing GPR Data Inversion with RTM-Guided Deep Learning Techniques

X Wang, G Yuan, X Meng, H Liu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Inversion of ground-penetrating radar (GPR) data is an effective technique for imaging
subsurface structures and restoring the physical parameters of mediums. However, the …

Real-time dual-parameter full-waveform inversion of GPR data based on robust deep learning

J Xue, Q Huang, S Wu, L Zhao… - Geophysical Journal …, 2024 - academic.oup.com
Ground penetrating radar (GPR) is becoming an increasingly important tool for
understanding the shallow electrical structures of the Earth and planets due to its …

Enhancing full-waveform inversion of field GPR data: A source-independent approach with dynamic reference selection via SE-Wave-U-Net

X Wang, J Chen, H Liu - Geophysics, 2025 - library.seg.org
Ground-penetrating radar (GPR) is a widely used nondestructive detection tool. Full-
waveform inversion (FWI) offers a reliable algorithm for accurately imaging GPR data …

Slowness High-resolution Tomography of Cross-hole Radar Based on Deep Learning

X Liu, S Liu, S Tian, Q Zhao, Q Lu… - IEEE Geoscience and …, 2024 - ieeexplore.ieee.org
Traditional cross-hole radar tomography (CRT) usually cannot obtain high-resolution
imaging results due to the nonlinearity and multisolution of inversion. To cope with these …