Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1109/TGRS.2019.2954949 |
Seismic Signal Enhancement and Noise Suppression Using Structure-Adaptive Nonlinear Complex Diffusion | |
Zhang, Yushu1,2; Lin, Hongbo1,2; Li, Yue1,2; Ma, Haitao1,2 | |
通讯作者 | Lin, Hongbo ; Ma, Haitao |
来源期刊 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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ISSN | 0196-2892 |
EISSN | 1558-0644 |
出版年 | 2020 |
卷号 | 58期号:3页码:2198-2211 |
英文摘要 | In seismic exploration, effective seismic noise attenuation along with seismic signal preservation is a key problem for seismic signal processing. The seismic data acquired from complex environments usually have a low signal-to-noise ratio (SNR) and nonstationary random noise that makes it difficult to accurately restore seismic signals. For enhancing seismic signals and filtering nonstationary random noise, we propose a structure-adaptive nonlinear complex diffusion method (ANCD) based on the regularized complex shock diffusion (CSD) by exploiting the structure-adaptive diffusion coefficients. The proposed complex diffusion method makes use of the imaginary value which is generated by a complex diffusion process as a directional structure indicator to guide the diffusion coefficients, by cooperating with spatially variant structure factors associated with the eigenvalues and eigenvectors of the structure tensor. In this way, the structural-adaptive diffusion term of ANCD allows the diffusion process along seismic structures, and the resulting imaginary part in turn enables the shock term to enhance the seismic signals with steep dips and rapidly varying slopes. The proposed method is tested on the synthetic seismic data and field seismic data acquired from the forest belt and desert area. The results show that the ANCD achieves a superior tradeoff between suppressing complicated random noise and preserving the seismic structures compared with the state-of-the-art seismic denoising methods. |
英文关键词 | Adaptive noise attenuation nonlinear complex diffusion seismic signal enhancement threshold function |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | SCI-E |
WOS记录号 | WOS:000519598700054 |
WOS关键词 | ANISOTROPIC DIFFUSION ; IMAGE-ENHANCEMENT ; EDGE-DETECTION ; ATTENUATION ; CLASSIFICATION ; INTERPOLATION ; PICKING ; TFPF |
WOS类目 | Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/314715 |
作者单位 | 1.Jilin Univ, Dept Informat, Changchun 130012, Peoples R China; 2.Jilin Univ, Coll Commun & Engn, Changchun 130012, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Yushu,Lin, Hongbo,Li, Yue,et al. Seismic Signal Enhancement and Noise Suppression Using Structure-Adaptive Nonlinear Complex Diffusion[J],2020,58(3):2198-2211. |
APA | Zhang, Yushu,Lin, Hongbo,Li, Yue,&Ma, Haitao.(2020).Seismic Signal Enhancement and Noise Suppression Using Structure-Adaptive Nonlinear Complex Diffusion.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,58(3),2198-2211. |
MLA | Zhang, Yushu,et al."Seismic Signal Enhancement and Noise Suppression Using Structure-Adaptive Nonlinear Complex Diffusion".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 58.3(2020):2198-2211. |
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