27 citations · 56 across the 3 of their papers we have counts for
3 papers
eess.SP2024★ 9 cited
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…
eess.IV2022★ 20 cited
A Deep Learning-Based GPR Forward Solver for Predicting B-Scans of Subsurface Objects
Qiqi Dai, Yee Hui Lee, Hai-Han Sun +4
The forward full-wave modeling of ground-penetrating radar (GPR) facilitates the understanding and interpretation of GPR data. Traditional forward solvers require excessive computa…
cs.CV2021★ 27 cited
Estimating Parameters of the Tree Root in Heterogeneous Soil Environments via Mask-Guided Multi-Polarimetric Integration Neural Network
Hai-Han Sun, Yee Hui Lee, Qiqi Dai +4
Ground-penetrating radar (GPR) has been used as a non-destructive tool for tree root inspection. Estimating root-related parameters from GPR radargrams greatly facilitates root hea…