中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Multispectral Denoising Framework for Seismic Random Noise Attenuation

文献类型:期刊论文

作者Lin, Yi1; Zhang, Jinhai2,3
刊名IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
出版日期2022
卷号60页码:17
ISSN号0196-2892
关键词Tensors Noise measurement Noise reduction Transforms Attenuation Time-frequency analysis Matrix decomposition 3-D tensor low rank multispectral denoising framework (MDF) random noise attenuation seismic data processing
DOI10.1109/TGRS.2020.3047633
英文摘要Random noise attenuation plays an important role in the seismic data processing. The global coherency among different spectral segments is often neglected in the traditional denoising methods, even though the seismic data are naturally broadband in the frequency spectrum. We proposed a multispectral denoising framework (MDF) for seismic random noise attenuation. The MDF contains three key components. First, we use a series of narrow-band filters on the noisy data to construct the multispectral data. Second, we normalize the constructed multispectral data to mitigate the amplitude discrepancy between different spectral slices. Third, we apply the intrinsic tensor sparsity regularization method to denoise the multispectral data. Numerical experiments on synthetic and field data show that the proposed framework can reduce the random noise as well as the erratic noise, and it can achieve improved denoised results, compared with a traditional method (i.e., the deconvolution method) and the single-spectral version of the proposed method (i.e., the weighted nuclear norm minimization (WNNM) method). The proposed framework can be applied to both prestack and stacked data and generally well preserve the amplitude of useful signals, compared with the other two methods.
WOS关键词EMPIRICAL MODE DECOMPOSITION ; SINGULAR-VALUE DECOMPOSITION ; NUCLEAR NORM MINIMIZATION ; DATA RECONSTRUCTION ; SEISLET TRANSFORM ; T-X ; REDUCTION ; PREDICTION ; SUPPRESSION ; SPECTRUM
资助项目Strategic Priority Research Program of Chinese Academy of Sciences[XDA17010404] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA15011700] ; National Natural Science Foundation of China[41941002] ; 68th China Postdoctoral Science Foundation[2020M680205]
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:000726094900066
资助机构Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; 68th China Postdoctoral Science Foundation ; 68th China Postdoctoral Science Foundation ; 68th China Postdoctoral Science Foundation ; 68th China Postdoctoral Science Foundation ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; 68th China Postdoctoral Science Foundation ; 68th China Postdoctoral Science Foundation ; 68th China Postdoctoral Science Foundation ; 68th China Postdoctoral Science Foundation ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; 68th China Postdoctoral Science Foundation ; 68th China Postdoctoral Science Foundation ; 68th China Postdoctoral Science Foundation ; 68th China Postdoctoral Science Foundation ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; 68th China Postdoctoral Science Foundation ; 68th China Postdoctoral Science Foundation ; 68th China Postdoctoral Science Foundation ; 68th China Postdoctoral Science Foundation
源URL[http://ir.iggcas.ac.cn/handle/132A11/103895]  
专题地质与地球物理研究所_中国科学院地球与行星物理重点实验室
通讯作者Zhang, Jinhai
作者单位1.Peking Univ, Sch Earth & Space Sci, Beijing 100871, Peoples R China
2.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing 100029, Peoples R China
3.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Earth & Planetary Phys, Beijing 100871, Peoples R China
推荐引用方式
GB/T 7714
Lin, Yi,Zhang, Jinhai. A Multispectral Denoising Framework for Seismic Random Noise Attenuation[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2022,60:17.
APA Lin, Yi,&Zhang, Jinhai.(2022).A Multispectral Denoising Framework for Seismic Random Noise Attenuation.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,60,17.
MLA Lin, Yi,et al."A Multispectral Denoising Framework for Seismic Random Noise Attenuation".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 60(2022):17.

入库方式: OAI收割

来源:地质与地球物理研究所

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