Deep Subsurface Pseudo-Lithostratigraphic Modeling Based on Three-Dimensional Convolutional Neural Network (3D CNN) Using Inversed Geophysical Properties and Shallow Subsurface Geological Model

- 发表刊物:
- Lithosphere
- 合写作者:
- Xu, Z, Wei, X, Song, L, Shah, SYA, Khan, U, Du, L, Li, X
- 第一作者:
- Zhang, B
- 论文类型:
- 期刊论文
- 论文编号:
- lithosphere_2023_273
- 学科门类:
- 工学
- 一级学科:
- 地质资源与地质工程
- 文献类型:
- J
- 卷号:
- 2024
- 期号:
- 1
- 页面范围:
- lithosphere_2023_273
- 是否译文:
- 否
- 发表时间:
- 2024-02-01
- 收录刊物:
- SCI
- 上一条:Multi-scale convolutional neural networks (CNNs) for landslide inventory mapping from remote sensing imagery and landslide susceptibility mapping (LSM)
- 下一条:A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling: A case study of the Sanhetun Area, Heilongjiang Province, Northeastern China


中南大学
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