91 citations · 236 across the 13 of their papers we have counts for
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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…
Accurate Tree Roots Positioning and Sizing over Undulated Ground Surfaces by Common Offset GPR Measurements
Wenhao Luo, Yee Hui Lee, Lai Fern Ow +2
Tree roots detection is a popular application of the Ground-penetrating radar (GPR). Normally, the ground surface above the tree roots is assumed to be flat, and standard processin…
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…
SFCW GPR tree roots detection enhancement by time frequency analysis in tropical areas
Wenhao Luo, Yee Hui Lee, Abdulkadir C. Yucel +2
Accurate monitoring of tree roots using ground penetrating radar (GPR) is very useful in assessing the trees health. In high moisture tropical areas such as Singapore, tree fall du…
Slice-Connection Clustering Algorithm for Tree Roots Recognition in Noisy 3D GPR Data
Wenhao Luo, Yee Hui Lee, Lai Fern Ow +2
3D mapping of tree roots is a popular ground-penetrating radar (GPR) application. In real field tests, the recognition of tree roots suffers due to noisey reflection patterns from…