干旱区生态环境知识资源中心(Arid): Low-Frequency Noise Suppression of Desert Seismic Data Based on Variational Mode Decomposition and Low-Rank Component Extraction

Arid

DOI	10.1109/LGRS.2019.2919795
	Low-Frequency Noise Suppression of Desert Seismic Data Based on Variational Mode Decomposition and Low-Rank Component Extraction
	Ma, Haitao; Yan, Jie; Li, Yue
通讯作者	Li, Yue
来源期刊	IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
ISSN	1545-598X
EISSN	1558-0571
出版年	2020
卷号	17 期号:2 页码:337-341
英文摘要	In desert seismic records, random noise with complex characteristics such as nonstationary, non-Gaussian, nonlinear, and low-frequency will contaminate effective signals, which will greatly reduce the continuity and resolution of the seismic events. In order to achieve the requirements of high signal-to-noise ratio (SNR), high resolution, and high fidelity of seismic records after denoising, and to obtain high quality seismic exploration data, we present a method for suppressing low-frequency noise of desert seismic data, which combines variational mode decomposition (VMD) with low-rank matrix approximation algorithm. This method can further avoid the effect of spectrum aliasing on the denoising results because of using VMD. At first, the proposed method decomposes seismic signals into different modes by VMD and then arranges all modes into a signal matrix. An algorithm named OptShrink is used to extract the low-rank noise components, and great denoising effect is achieved by making a difference between the low-rank noise components and the original seismic record. The method is applied to synthetic desert seismic data and real desert seismic data. The experimental results show that the denoising effect of this method is better than that of previous methods in desert low-frequency noise. The effective signal remains intact, the resolution and continuity of the seismic events are improved obviously. The suppression of surface wave is also very thorough.
英文关键词	Noise reduction Matrix decomposition Low-frequency noise Transforms Approximation algorithms Sparse matrices Frequency estimation Desert seismic data low-frequency noise suppression low-rank matrix approximation OptShrink variational mode decomposition (VMD)
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000510900300031
WOS关键词	ALGORITHM
WOS类目	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/314708
作者单位	Jilin Univ, Dept Informat, Coll Commun Engn, Changchun 130012, Peoples R China
推荐引用方式 GB/T 7714	Ma, Haitao,Yan, Jie,Li, Yue. Low-Frequency Noise Suppression of Desert Seismic Data Based on Variational Mode Decomposition and Low-Rank Component Extraction[J],2020,17(2):337-341.
APA	Ma, Haitao,Yan, Jie,&Li, Yue.(2020).Low-Frequency Noise Suppression of Desert Seismic Data Based on Variational Mode Decomposition and Low-Rank Component Extraction.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,17(2),337-341.
MLA	Ma, Haitao,et al."Low-Frequency Noise Suppression of Desert Seismic Data Based on Variational Mode Decomposition and Low-Rank Component Extraction".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 17.2(2020):337-341.