Arid
DOI10.1016/j.jappgeo.2019.103926
Desert seismic noise suppression based on an improved low-rank matrix approximation method
Li, Juan1; Fan, Wei1; Li, Yue1; Yang, Baojun2; Lu, Changgang3
通讯作者Li, Yue
来源期刊JOURNAL OF APPLIED GEOPHYSICS
ISSN0926-9851
EISSN1879-1859
出版年2020
卷号173
英文摘要The suppression of random noise is a crucial step before seismic data analysis. Random noise in desert areas has the characteristics of low frequency and non-stationary, and there is serious spectrum aliasing between random noise and effective signals, which makes it difficult to suppress such noise. In recent years, some methods based on signal rank minimization have achieved remarkable results in seismic random noise suppression. Since the implementation of low rank matrix approximation is an iterative process, noise estimation is an indispensable step before each iteration, but also an important step. The noise estimation method previously used is to calculate the residuals of the original noisy patch data and the corresponding iterative denoising version, which is intuitively considered as the filtered noise. This method may be very inaccurate in the case of high noise levels or complex seismic records. In this paper, a noise estimation method based on geometric texture is introduced to estimate the noise level by selecting weak textured patches in all seismic texture patches. At the same time, we reduce the loss of effective signals by truncating the singular values in each iteration. Experiments on both synthetic and field seismic data show that this method has better effect on suppressing random noise in desert areas. (C) 2020 Elsevier B.V. All rights reserved.
英文关键词Desert seismic noise Low rank matrix approximation Noise estimation Noise suppression Truncated singular value
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000517662300004
WOS关键词VARIATIONAL MODE DECOMPOSITION ; NUCLEAR NORM MINIMIZATION ; ATTENUATION ; AMPLITUDE ; PICKING
WOS类目Geosciences, Multidisciplinary ; Mining & Mineral Processing
WOS研究方向Geology ; Mining & Mineral Processing
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/314864
作者单位1.Jilin Univ, Coll Commun Engn, Dept Informat, Changchun 130012, Peoples R China;
2.Jilin Univ, Dept Geophys, Changchun 130026, Peoples R China;
3.Jilin Univ, Coll Automot Engn, Changchun, Peoples R China
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GB/T 7714
Li, Juan,Fan, Wei,Li, Yue,et al. Desert seismic noise suppression based on an improved low-rank matrix approximation method[J],2020,173.
APA Li, Juan,Fan, Wei,Li, Yue,Yang, Baojun,&Lu, Changgang.(2020).Desert seismic noise suppression based on an improved low-rank matrix approximation method.JOURNAL OF APPLIED GEOPHYSICS,173.
MLA Li, Juan,et al."Desert seismic noise suppression based on an improved low-rank matrix approximation method".JOURNAL OF APPLIED GEOPHYSICS 173(2020).
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