91 citations · 218 across the 6 of their papers we have counts for
4 papers · 1 filter
A Migration-Assisted Deep Learning Scheme for Imaging Defects Inside Cylindrical Structures via GPR: A Case Study for Tree Trunks
Jiwei Qian, Yee Hui Lee, Kaixuan Cheng +5
Ground-penetrating radar (GPR) has emerged as a prominent tool for imaging internal defects in cylindrical structures, such as columns, utility poles, and tree trunks. However, acc…
A Deep Learning-Augmented Stand-off Radar Scheme for Rapidly Detecting Tree Defects
Jiwei Qian, Yee Hui Lee, Kaixuan Cheng +4
Tree defect detection is crucial for the structural health screening of trees. Existing nondestructive testing (NDT) techniques for tree defect detection require time-consuming and…
3DInvNet: A Deep Learning-Based 3D Ground-Penetrating Radar Data Inversion
Qiqi Dai, Yee Hui Lee, Hai-Han Sun +3
The reconstruction of the 3D permittivity map from ground-penetrating radar (GPR) data is of great importance for mapping subsurface environments and inspecting underground structu…
DMRF-UNet: A Two-Stage Deep Learning Scheme for GPR Data Inversion under Heterogeneous Soil Conditions
Qiqi Dai, Yee Hui Lee, Hai-Han Sun +3
Traditional ground-penetrating radar (GPR) data inversion leverages iterative algorithms which suffer from high computation costs and low accuracy when applied to complex subsurfac…