干旱区生态环境知识资源中心(Arid): Desert Seismic Data Denoising Based on Gaussian Conditional Random Field With Sparsity Measurement

Arid

DOI	10.1109/LGRS.2020.3008231
	Desert Seismic Data Denoising Based on Gaussian Conditional Random Field With Sparsity Measurement
	Zhao, Yi; Li, Yue; Yan, Jie
通讯作者	Li, Y (corresponding author), Jilin Univ, Coll Commun Engn, Dept Informat, Changchun 130012, Peoples R China.
来源期刊	IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
ISSN	1545-598X
EISSN	1558-0571
出版年	2021
卷号	18 期号:10 页码:1851-1855
英文摘要	Desert seismic data have the characteristics of low signal-to-noise ratio (SNR) and low-frequency, which pose a major challenge to noise attenuation. In this letter, we propose a denoising method for desert seismic data that combines the Gaussian conditional random field (GCRF) and the sparsity measurement. The sparsity measurement method is designed to replace the noise sampling method in the posterior frame. To calculate the block sparsity, first the seismic data blocks are divided into three groups: high sparsity blocks, medium sparsity blocks, and low sparsity blocks. Then different denoising parameters are determined according to the sparsity of seismic signal and the nonsparsity of desert low-frequency noise. Consequently, this targeted parameter setting achieves a more thorough suppression of noise and less attenuation of seismic signals. Both the synthetic and real data experiments prove the effectiveness of the method in this letter.
英文关键词	Seismic measurements Estimation Noise reduction Signal to noise ratio Noise measurement Attenuation Low-frequency noise Desert low-frequency noise Gaussian conditional random field (GCRF) noise suppression sparsity measurement
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000701254500039
WOS关键词	IMAGE ; REPRESENTATIONS ; NOISE
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/2XILL650/363558
作者单位	[Zhao, Yi; Li, Yue; Yan, Jie] Jilin Univ, Coll Commun Engn, Dept Informat, Changchun 130012, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Yi,Li, Yue,Yan, Jie. Desert Seismic Data Denoising Based on Gaussian Conditional Random Field With Sparsity Measurement[J],2021,18(10):1851-1855.
APA	Zhao, Yi,Li, Yue,&Yan, Jie.(2021).Desert Seismic Data Denoising Based on Gaussian Conditional Random Field With Sparsity Measurement.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,18(10),1851-1855.
MLA	Zhao, Yi,et al."Desert Seismic Data Denoising Based on Gaussian Conditional Random Field With Sparsity Measurement".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 18.10(2021):1851-1855.