3DInvNet: a deep learning-based 3D ground-penetrating radar data inversion
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...
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Main Authors: | Dai, Qiqi, Lee, Yee Hui, Sun, Hai-Han, Ow, Genevieve, Yusof, Mohamed Lokman Mohd, Yucel, Abdulkadir C. |
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其他作者: | School of Electrical and Electronic Engineering |
格式: | Article |
語言: | English |
出版: |
2023
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主題: | |
在線閱讀: | https://hdl.handle.net/10356/169999 |
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機構: | Nanyang Technological University |
語言: | English |
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