A deep learning-based GPR forward solver for predicting B-scans of subsurface objects

• Main Authors: Dai, Qiqi, Lee, Yee Hui, Sun, Hai-Han, Qian, Jiwei, Ow, Genevieve, Mohamed Lokman Mohd Yusof, Yucel, Abdulkadir C.
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Deep Learning; Ground-Penetrating Radar
• Online Access: https://hdl.handle.net/10356/163834
• Institution: Nanyang Technological University

The forward full-wave modeling of ground-penetrating radar (GPR) facilitates the understanding and interpretation of GPR data. Traditional forward solvers require excessive computational resources, especially when their repetitive executions are needed in signal processing and/or machine learning al...