Geological Literature
Data generation by FDTD Method simulator and their availability for deep learning in the Ground Penetrating Radar Method
YAMASHITA Shohei, ISO Shinichiro, UEDA Takumi
| item | description |
|---|---|
| Title | Data generation by FDTD Method simulator and their availability for deep learning in the Ground Penetrating Radar Method |
| Authors | YAMASHITA Shohei, ISO Shinichiro, UEDA Takumi |
| Data name | Proceedings of the SEGJ Conference |
| Volume | 140 |
| Page | 130-133 |
| Year | 2019 |
| Publisher | The Society of Exploration Geophysicists of Japan |
| Language | JA |
| Abstract language | EN |
| GEOLIS URL | https://darc.gsj.jp/archives/detail?cls=geolis&pkey=201970630 |
| @id | https://gbank.gsj.jp/ld/resource/geolis/201970630 |