Özet
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.
| Orijinal dil | İngilizce |
|---|---|
| Ana bilgisayar yayını başlığı | 2024 47th International Conference on Telecommunications and Signal Processing, TSP 2024 |
| Editörler | Norbert Herencsar |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| Sayfalar | 302-306 |
| Sayfa sayısı | 5 |
| ISBN (Elektronik) | 9798350365597 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 2024 |
| Etkinlik | 47th International Conference on Telecommunications and Signal Processing, TSP 2024 - Virtual, Online, Czech Republic Süre: 10 Tem 2024 → 12 Tem 2024 |
Yayın serisi
| Adı | 2024 47th International Conference on Telecommunications and Signal Processing, TSP 2024 |
|---|
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| ???event.eventtypes.event.conference??? | 47th International Conference on Telecommunications and Signal Processing, TSP 2024 |
|---|---|
| Ülke/Bölge | Czech Republic |
| Şehir | Virtual, Online |
| Periyot | 10/07/24 → 12/07/24 |
Bibliyografik not
Publisher Copyright:© 2024 IEEE.
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