Özet
Traditional clutter removal methods struggle with complex clutter and multiple targets in Ground-Penetrating Radar images. This study proposes using B-spline activation functions in the deep-learning models to improve clutter removal in GPR. Experimental results demonstrate that B-spline-enhanced models outperform their ReLU-based counterparts, with improvements of up to 2.20% in PSNR, 0.035% in MS-SSIM, and 15.83% in SCR, showcasing their potential for real-world GPR applications.
| Orijinal dil | İngilizce |
|---|---|
| Ana bilgisayar yayını başlığı | 2024 32nd Telecommunications Forum, TELFOR 2024 - Proceedings of Papers |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Elektronik) | 9798350391053 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 2024 |
| Etkinlik | 32nd Telecommunications Forum, TELFOR 2024 - Belgrade, Serbia Süre: 26 Kas 2024 → 27 Kas 2024 |
Yayın serisi
| Adı | 2024 32nd Telecommunications Forum, TELFOR 2024 - Proceedings of Papers |
|---|
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| ???event.eventtypes.event.conference??? | 32nd Telecommunications Forum, TELFOR 2024 |
|---|---|
| Ülke/Bölge | Serbia |
| Şehir | Belgrade |
| Periyot | 26/11/24 → 27/11/24 |
Bibliyografik not
Publisher Copyright:© 2024 IEEE.
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