activity
20202026
most citedDMRF-UNet: A Two-Stage Deep Learning Scheme for GPR Data Inversion under Heterogeneous Soil Conditions

91 citations · 236 across the 13 of their papers we have counts for

collaborators

13 papers

cs.LG2026

Forecasting Ionospheric Irregularities on GNSS Lines of Sight Using Dynamic Graphs with Ephemeris Conditioning

Mert Can Turkmen, Eng Leong Tan, Yee Hui Lee

Most data-driven ionospheric models operate on gridded products, which do not preserve the time-varying sampling structure of satellite-based sensing. We instead model the ionosphe…

eess.SP2026★ 1 cited

A Migration-Assisted Deep Learning Scheme for Imaging Defects Inside Cylindrical Structures via GPR: A Case Study for Tree Trunks

Jiwei Qian, Yee Hui Lee, Kaixuan Cheng +5

Ground-penetrating radar (GPR) has emerged as a prominent tool for imaging internal defects in cylindrical structures, such as columns, utility poles, and tree trunks. However, acc…

cs.CV2025

UCloudNet: A Residual U-Net with Deep Supervision for Cloud Image Segmentation

Yijie Li, Hewei Wang, Shaofan Wang +3

Recent advancements in meteorology involve the use of ground-based sky cameras for cloud observation. Analyzing images from these cameras helps in calculating cloud coverage and un…

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.SP2023

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…

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★ 15 cited

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…

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…

eess.SP2022★ 1 cited

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…

eess.SP2022★ 1 cited

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…

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…

eess.SP2020

Compact Dual-Polarized Vivaldi Antenna for Ground Penetrating Radar (GPR) Application

Hai-Han Sun, Yee Hui Lee, Abdulkadir C. Yucel +2

In this paper, a compact dual-polarized Vivaldi antenna is presented. Four Vivaldi elements are used as radiators, and are positioned obliquely and connected in a horn shape. By ex…