.png){kind=icon}
返回
Deep Learning Inversion for Multivariate Magnetic Data
.png){kind=icon}
PRE
AI
DOI：10.1109/TGRS.2023.3337413.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Three-dimensional inversion of magnetic data can obtain the distribution of subsurface magnetic targets. Deep learning is an effective way to achieve 3-D inversion, which trains a neural network to learn the features of magnetic anomaly data and then generates a 3-D model based on these features. Large training samples are required to achieve persuasive results due to the limited observational data and the multisolution nature of the inverse problem. To reduce the nonuniqueness of the inversion, this article proposes a multivariate magnetic data-based deep learning 3-D inversion strategy. With the proposed strategy, more domain knowledge is incorporated into the training data of the neural network to improve the inversion accuracy. The input data of the neural network adopt multivariate observation data, including multiscale data and multitype data such as magnetic three-component data, magnetic gradient tensor data, and so on, and output a 3-D model to realize 3-D to 3-D mapping. Then, the neural network structure uses the 3-D convolution to extract 3-D spatial information. Both tests on simulation and measured data verify that the proposed strategy can effectively improve the accuracy of the 3-D magnetic inversion.
Keyword:
Three-dimensional displays
Magnetic domains
Solid modeling
Data models
Neural networks
Mathematical models
Feature extraction
3-D convolution
3-D magnetic inversion
deep learning
multivariate data
期刊
IF:
8.6
论文数:
2.1W
被引数:
10.7W
机构
引用论文
Preparation of MgO-Templated N-Doped Mesoporous Carbons from Polyvinylpyrrolidone: Effect of Heating Temperature on Pore Size Distribution聚乙烯吡咯烷酮制备MgO模板氮掺杂介孔碳：加热温度对孔径分布的影响.png)
C
OAAI
CIF0
OAAI分享收藏Deep Learning for Geophysics: Current and Future Trends地球物理学的深度学习: 当前和未来趋势REVIEWS OF GEOPHYSICSOAAI
REVIEWS OF GEOPHYSICSIF37.3
OAAI分享收藏分享收藏分享收藏Mobile markerless augmented reality and its application in forensic medicine移动无标记增强现实技术及其在法医学中的应用
PREAI
分享收藏
查看更多内容