Combining Image Restoration with Deep Detectors for Improved Target Detection in GPR
Küçük Resim Yok
Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
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. © 2024 IEEE.
Açıklama
47th International Conference on Telecommunications and Signal Processing, TSP 2024 -- 10 July 2024 through 12 July 2024 -- Virtual, Online -- 201450
Anahtar Kelimeler
buried target detection, ground penetrating radar (GPR), image denoising, image restoration, missing data recovery, YOLOv10, YOLOv5
Kaynak
2024 47th International Conference on Telecommunications and Signal Processing, TSP 2024
WoS Q Değeri
Scopus Q Değeri
N/A
