Abstract
The target detection performance of GPR systems suffers from the noisy and partially lost data encountered in field studies. Since detection may benefit from the restoration of the data prior to detection procedure, a two-step approach is proposed. Firstly, the data is either denoised or recovered with networks appropriate to the nature of the task, then detection is performed by YOLOv5 or YOLOv10. Detection results obtained with the proposed approach confirm performance increase in terms of MAP values compared to the sole use of YOLOv5 or YOLOv10.
| Original language | English |
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| Title of host publication | 2024 47th International Conference on Telecommunications and Signal Processing, TSP 2024 |
| Editors | Norbert Herencsar |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 302-306 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798350365597 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 47th International Conference on Telecommunications and Signal Processing, TSP 2024 - Virtual, Online, Czech Republic Duration: 10 Jul 2024 → 12 Jul 2024 |
Publication series
| Name | 2024 47th International Conference on Telecommunications and Signal Processing, TSP 2024 |
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Conference
| Conference | 47th International Conference on Telecommunications and Signal Processing, TSP 2024 |
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| Country/Territory | Czech Republic |
| City | Virtual, Online |
| Period | 10/07/24 → 12/07/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- buried target detection
- ground penetrating radar (GPR)
- image denoising
- image restoration
- missing data recovery
- YOLOv10
- YOLOv5