activity
20212023
most citedDMRF-UNet: A Two-Stage Deep Learning Scheme for GPR Data Inversion under Heterogeneous Soil Conditions

91 citations · 312 across the 8 of their papers we have counts for

collaborators

8 papers

eess.SP2023★ 70 cited

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…

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…

eess.SP2022★ 1 cited

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…

eess.SP2022★ 68 cited

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…

eess.SP2022★ 91 cited

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…

astro-ph.HE2022★ 7 cited

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…

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…

eess.IV2021★ 28 cited

The Orientation Estimation of Elongated Underground Objects via Multi-Polarization Aggregation and Selection Neural Network

Hai-Han Sun, Yee Hui Lee, Chongyi Li +3

The horizontal orientation angle and vertical inclination angle of an elongated subsurface object are key parameters for object identification and imaging in ground penetrating rad…