干旱区生态环境知识资源中心(Arid): Denoising of desert seismic signal based on synchrosqueezing transform and Adaboost algorithm

Arid

DOI	10.1007/s11600-020-00408-1
	Denoising of desert seismic signal based on synchrosqueezing transform and Adaboost algorithm
	Sun, Xiaofu; Li, Yue
通讯作者	Li, Yue
来源期刊	ACTA GEOPHYSICA
ISSN	1895-6572
EISSN	1895-7455
出版年	2020
卷号	68 期号:2 页码:403-412
英文摘要	Seismic data in desert area generally have low signal-to-noise ratio (SNR) due to special surface conditions. Desert noise is characterized as low-frequency, non-Gaussian and non-stationary noise, which makes the noise suppression in desert area more challenging by conventional methods. Conventional methods are effective for the signal with high SNR, but in desert seismic signal, the SNR is low and the signal can easily be obliterated in desert noise. In this paper, we propose an approach that operates in synchrosqueezing transform (SST) domain and use classification techniques obtained from supervised machine learning to identify the coefficients associated with signal and noise. First of all, we transform the real desert seismic data into time-frequency domain by SST. Secondly, we select features by calculating the SST coefficients of signal and noise. And then, we train them in the Adaboost classifier. Finally, when the training is completed, we can obtain the final classifier that can effectively separate the signal from noise. We perform tests on synthetic and field records, and the results show great advantages in suppressing random noise as well as retaining effective signal amplitude.
英文关键词	Adaboost classifier Desert low-frequency noise suppression Seismic low-frequency signal detection Synchrosqueezing transform
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000516311100001
WOS关键词	NOISE ATTENUATION
WOS类目	Geochemistry & Geophysics
WOS研究方向	Geochemistry & Geophysics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/313883
作者单位	Jilin Univ, Coll Commun Engn, Dept Informat, Changchun 130012, Peoples R China
推荐引用方式 GB/T 7714	Sun, Xiaofu,Li, Yue. Denoising of desert seismic signal based on synchrosqueezing transform and Adaboost algorithm[J],2020,68(2):403-412.
APA	Sun, Xiaofu,&Li, Yue.(2020).Denoising of desert seismic signal based on synchrosqueezing transform and Adaboost algorithm.ACTA GEOPHYSICA,68(2),403-412.
MLA	Sun, Xiaofu,et al."Denoising of desert seismic signal based on synchrosqueezing transform and Adaboost algorithm".ACTA GEOPHYSICA 68.2(2020):403-412.