IGGCAS OpenIR  > 地球与行星物理院重点实验室
A Multispectral Denoising Framework for Seismic Random Noise Attenuation
Lin, Yi1; Zhang, Jinhai2,3
2022
Source PublicationIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN0196-2892
Volume60Pages:17
AbstractRandom 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.
KeywordTensors 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
Funding OrganizationStrategic 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
WOS KeywordEMPIRICAL MODE DECOMPOSITION ; SINGULAR-VALUE DECOMPOSITION ; NUCLEAR NORM MINIMIZATION ; DATA RECONSTRUCTION ; SEISLET TRANSFORM ; T-X ; REDUCTION ; PREDICTION ; SUPPRESSION ; SPECTRUM
Language英语
Funding ProjectStrategic 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]
Funding OrganizationStrategic 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
WOS Research AreaGeochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectGeochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000726094900066
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.iggcas.ac.cn/handle/132A11/103895
Collection地球与行星物理院重点实验室
Corresponding AuthorZhang, Jinhai
Affiliation1.Peking Univ, Sch Earth & Space Sci, Beijing 100871, Peoples R China
2.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Earth & Planetary Phys, Beijing 100871, Peoples R China
3.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing 100029, Peoples R China
Corresponding Author AffilicationInstitute of Geology and Geophysics, Chinese Academy of Sciences
Recommended Citation
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.
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