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
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出版日期 | 2022 |
卷号 | 60页码:17 |
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 |
ISSN号 | 0196-2892 |
DOI | 10.1109/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 |
WOS记录号 | WOS:000726094900066 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
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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