Enhancing Deep Learning Networks Performance By Using B-Spline Activation Functions for Clutter Removal in GPR
Küçük Resim Yok
Tarih
2024
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
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. © 2024 IEEE.
Açıklama
32nd Telecommunications Forum, TELFOR 2024 -- 26 November 2024 through 27 November 2024 -- Belgrade -- 205822
Anahtar Kelimeler
B-splines, Clutter removal, deep learning, ground-penetrating radar
Kaynak
2024 32nd Telecommunications Forum, TELFOR 2024 - Proceedings of Papers
WoS Q Değeri
Scopus Q Değeri
N/A
