Journal article
基于形态聚类的频率域大地电磁数据去噪新方法研究
Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), Vol.54(10), pp.3937-3948
2023
DOI: 10.11817/j.issn.1672-7207.2023.10.015
Abstract
The magnetotelluric(MT) method is a geophysical method that uses natural electromagnetic sources for deep geoelectric structure exploration, but its signals are susceptible to various noise interferences. To better identify the MT signals and noise, a method for automatic clustering was proposed based on the MT signal patterns in the frequency domain, and the algorithm was used to calculate with synthetic and measured data. The results show that in the frequency domain, MT signal patterns have some similarities, and strong interference noise has specific characteristics different from the signal. Such characteristics can be distinguished using cosine similarity, and the signal can be separated from the noise using a clustering algorithm. The apparent resistivity and phase curves calculated by the new algorithm are smoother and more continuous, indicating a significant improvement in MT impedance estimation by using the improved method.
Details
- Title: Subtitle
- 基于形态聚类的频率域大地电磁数据去噪新方法研究
- Creators
- Rongwen Guo - School of Geosciences and Info-Physics, Central South University, Changsha, ChinaWanqing Tong - Hunan Key Laboratory of Nonferrous Resources and Geological Hazards Exploration, Central South University, Changsha, ChinaJianxin Liu - School of Geosciences and Info-Physics, Central South University, Changsha, ChinaYongfei Wang - Hunan Key Laboratory of Nonferrous Resources and Geological Hazards Exploration, Central South University, Changsha, ChinaZihui Yin - Hunan Key Laboratory of Nonferrous Resources and Geological Hazards Exploration, Central South University, Changsha, ChinaHang Chen - Hunan Key Laboratory of Nonferrous Resources and Geological Hazards Exploration, Central South University, Changsha, China
- Resource Type
- Journal article
- Publication Details
- Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), Vol.54(10), pp.3937-3948
- DOI
- 10.11817/j.issn.1672-7207.2023.10.015
- ISSN
- 1672-7207
- Number of pages
- 12
- Grant note
- 2021zzts0251 / Natural Science Foundation of Hunan Province (http://data.elsevier.com/vocabulary/SciValFunders/501100004735) 2020JJ4692 / National Natural Science Foundation of China (http://data.elsevier.com/vocabulary/SciValFunders/501100001809) Central South University (http://data.elsevier.com/vocabulary/SciValFunders/501100002822) Natural Science Foundation of Hunan Province (http://data.elsevier.com/vocabulary/SciValFunders/501100004735) National Natural Science Foundation of China (http://data.elsevier.com/vocabulary/SciValFunders/501100001809)
- Translated title
- Research of a new algorithm on denoising frequency domain magnetotelluric data based on morphological clustering
- Language
- Chinese
- Date published
- 2023
- Academic Unit
- Earth and Environmental Sciences
- Record Identifier
- 9984962626602771
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