activity
20162022
most citedRough Set Based Color Channel Selection

24 citations · 28 across the 8 of their papers we have counts for

collaborators

5 papers

eess.IV202220 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…

cs.CV202127 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…

cs.CV20171 cited

Systematic study of color spaces and components for the segmentation of sky/cloud images

Soumyabrata Dev, Yee Hui Lee, Stefan Winkler

Sky/cloud imaging using ground-based Whole Sky Imagers (WSI) is a cost-effective means to understanding cloud cover and weather patterns. The accurate segmentation of clouds in the…

cs.CV201624 cited

Rough Set Based Color Channel Selection

Soumyabrata Dev, Florian M. Savoy, Yee Hui Lee +1

Color channel selection is essential for accurate segmentation of sky and clouds in images obtained from ground-based sky cameras. Most prior works in cloud segmentation use thresh…

cs.CV2016

Short-term prediction of localized cloud motion using ground-based sky imagers

Soumyabrata Dev, Florian M. Savoy, Yee Hui Lee +1

Fine-scale short-term cloud motion prediction is needed for several applications, including solar energy generation and satellite communications. In tropical regions such as Singap…