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 …
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 …
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 …
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 …
Automatic Dual-Polarized Ground Penetrating Radar for Enhanced 3D Tree Roots System Architecture Reconstruction
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 …
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
Inversion of ground-penetrating radar (GPR) data is an effective technique for imaging
subsurface structures and restoring the physical parameters of mediums. However, the …
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
Ground penetrating radar (GPR) is becoming an increasingly important tool for
understanding the shallow electrical structures of the Earth and planets due to its …
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
Ground-penetrating radar (GPR) is a widely used nondestructive detection tool. Full-
waveform inversion (FWI) offers a reliable algorithm for accurately imaging GPR data …
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 …
imaging results due to the nonlinearity and multisolution of inversion. To cope with these …