Geological Literature
Applying a machine learning model to quantify the surface ruggedness using high-resolution 3D outcrop model (SCG51-02)(abs.)
Takumu Nakamura, Arata Kioka, Yasuhiro Yamada
| item | description |
|---|---|
| Title | Applying a machine learning model to quantify the surface ruggedness using high-resolution 3D outcrop model (SCG51-02)(abs.) |
| Authors | Takumu Nakamura, Arata Kioka, Yasuhiro Yamada |
| Data name | Abstracts, Japan Geoscience Union Meeting (online) |
| Volume | 2022 |
| Page | SCG51-02 |
| Year | 2022 |
| Publisher | Japan Geoscience Union |
| Language | JA |
| GEOLIS URL | https://darc.gsj.jp/archives/detail?cls=geolis&pkey=300029570 |
| Link | |
| @id | https://gbank.gsj.jp/ld/resource/geolis/300029570 |