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2024 47th International Conference on Telecommunications and Signal Processing (TSP)

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Combining Image Restoration with Deep Detectors for Improved Target Detection in GPR

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.

Yavuz Emre Kayacan
Beykent University
Turkey

Kaan Ozdogan
Istanbul Technical University
Turkey

Mehmet Utku Colak
Istanbul Technical University
Turkey

Ozge Aydin
Istanbul Technical University
Turkey

Ahmet Enes Turan
Istanbul Technical University
Turkey

Isin Erer
Istanbul Technical University
Turkey

 

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