Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/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
![]() |
ISSN | 0926-9851 |
EISSN | 1879-1859 |
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 |
推荐引用方式 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). |
条目包含的文件 | 条目无相关文件。 |
个性服务 |
推荐该条目 |
保存到收藏夹 |
导出为Endnote文件 |
谷歌学术 |
谷歌学术中相似的文章 |
[Li, Juan]的文章 |
[Fan, Wei]的文章 |
[Li, Yue]的文章 |
百度学术 |
百度学术中相似的文章 |
[Li, Juan]的文章 |
[Fan, Wei]的文章 |
[Li, Yue]的文章 |
必应学术 |
必应学术中相似的文章 |
[Li, Juan]的文章 |
[Fan, Wei]的文章 |
[Li, Yue]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。