Learning from clutter: an unsupervised learning-based clutter removal scheme for GPR B-scans

• Main Authors: Dai, Qiqi, Lee, Yee Hui, Sun, Hai-Han, Qian, Jiwei, Mohamed Lokman Mohd Yusof, Lee, Daryl, Yucel, Abdulkadir C.
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2025
• Subjects: Engineering; Clutter removal; Contrastive learning
• Online Access: https://hdl.handle.net/10356/182188
• Institution: Nanyang Technological University

Ground-penetrating radar (GPR) data are often contaminated by hardware and environmental clutter, which significantly affects the accuracy and reliability of target response identification. Existing supervised deep learning techniques for removing clutter in GPR data require generating a large set o...