91 citations · 312 across the 8 of their papers we have counts for
5 papers · 1 filter
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…
Dual-Cross-Polarized GPR Measurement Method for Detection and Orientation Estimation of Shallowly Buried Elongated Object
Hai-Han Sun, Yee Hui Lee, Wenhao Luo +3
Detecting a shallowly buried and elongated object and estimating its orientation using a commonly adopted co-polarized GPR system is challenging due to the presence of strong groun…
Learning to Remove Clutter in Real-World GPR Images Using Hybrid Data
Hai-Han Sun, Weixia Cheng, Zheng Fan
The clutter in the ground-penetrating radar (GPR) radargram disguises or distorts subsurface target responses, which severely affects the accuracy of target detection and identific…
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…
A Tight Three-parameter Correlation and Related Classification on Gamma-Ray Bursts
Shuai Zhang, Lang Shao, Bin-Bin Zhang +4
Gamma-ray bursts (GRBs) are widely believed to be from massive collapsars and/or compact binary mergers, which accordingly, would generate long and short GRBs, respectively. The de…