91 citations · 376 across the 20 of their papers we have counts for
20 papers
XRL: An FMM-Accelerated SIE Simulator for Resistance and Inductance Extraction of Complicated 3-D Geometries
Mingyu Wang, Ping Liu, Jihong Gu +2
A fast multipole method (FMM)-accelerated surface integral equation (SIE) simulator, called XRL, is proposed for broadband resistance/inductance (RL) extraction under the magneto-q…
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…
A Depth-Adaptive Filtering Method for Effective GPR Tree Roots Detection in Tropical Area
Wenhao Luo, Yee Hui Lee, Mohamed Lokman Mohd Yusof +1
This study presents a technique for processing Stepfrequency continuous wave (SFCW) ground penetrating radar (GPR) data to detect tree roots. SFCW GPR is portable and enables preci…
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…
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…