3DInvNet: a deep learning-based 3D ground-penetrating radar data inversion

• المؤلفون الرئيسيون: Dai, Qiqi, Lee, Yee Hui, Sun, Hai-Han, Ow, Genevieve, Yusof, Mohamed Lokman Mohd, Yucel, Abdulkadir C.
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Electrical and electronic engineering; Deep Learning; Denoising
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/169999

The reconstruction of the 3D permittivity map from ground-penetrating radar (GPR) data is of great importance for mapping subsurface environments and inspecting underground structural integrity. Traditional iterative 3D reconstruction algorithms suffer from strong non-linearity, ill-posedness, an...