| Proj No. | B3005-251 |
| Title | Few-shot learning algorithms for GPR data denoising |
| Summary | Ground Penetrating Radar (GPR) is a crucial non-invasive tool for imaging tree roots. It is particularly important for detecting rotten roots and assessing the structural stability of trees. By providing real-time and high-resolution subsurface imagery, GPR enhances the assessment of tree health and helps prevent potential hazards and fatal tree fall accidents caused by weakened root systems. In this project, the student will help the research team with the following responsibilities: - Exploring few-shot learning algorithms for GPR data denoising - Implementing the most suitable one and comparing its performance with our current denoiser - Development of the database via measurements The current study primarily involves software development and measurement campaigns. |
| Supervisor | Ast/P Abdulkadir C. Yucel (Loc:S2 > S2 B2C > S2 B2C 110, Ext: +65 67905403) |
| Co-Supervisor | Prof Lee Yee Hui (Loc:S2 > S2 B2C > S2 B2C 81, Ext: +65 67906188) |
| RI Co-Supervisor | - |
| Lab | Centre for Information Sciences & System (CISS) (Loc: S2-B4b-05) |
| Single/Group: | Single |
| Area: | Digital Media Processing and Computer Engineering |
| ISP/RI/SMP/SCP?: | ISP: Dr James Wang Deputy Director (CUGE) NParks James_WANG@nparks.gov.sg |