The removal of the high-frequency motion-induced noise in helicopter-borne transient electromagnetic data based on wavelet neural network

doi:10.1190/GEO2018-0120.1

CORC > 地质与地球物理研究所 > 中国科学院地质与地球物理研究所 > 中国科学院矿产资源研究重点实验室

	The removal of the high-frequency motion-induced noise in helicopter-borne transient electromagnetic data based on wavelet neural network
	Wu, Xin 1,2; Xue, Guoqiang 2,3,4; Xiao, Pan 1,2; Li, Jutao 1; Liu, Lihua 1; Fang, Guangyou 1
刊名	GEOPHYSICS
	2019
卷号	84 期号:1 页码:K1-K9
ISSN号	0016-8033
DOI	10.1190/GEO2018-0120.1
英文摘要	In helicopter-borne transient electromagnetic (HTEM) signal processing, removal of motion-induced noise is one of the most important steps. A special type of short-term noise, which could be classified as high-frequency motion-induced noise (HFM noise) based on its cause and time-frequency features, was observed in the field data of the Chinese Academy of Sciences-HTEM system. Because the HFM noise is an in-band noise for the HTEM response, it usually remains after the normal denoising procedure developed for the conventional motion-induced noise. To solve this problem, we have developed a three-stage workflow to remove the HFM noise using the wavelet neural network (WNN). In the first stage, the WNN training is performed, and the data segment in which the HFM noise is dominant is selected as the sample set. In the second stage, the HFM noise corresponding to the data segment in which the earth's response coexisted with the HFM noise is predicted using the well-trained WNN. In the last stage, the predicted HFM noise is removed from the corresponding original data. As an example, we applied our workflow in the field data observed in Inner-Mongolia, the HFM noise is removed effectively, and the results provide a strong data foundation for the subsequent processing procedures.
资助项目	Research and Development of the Key Instruments and Technologies for Deep Resource Prospecting[ZDYZ2012-01-03] ; National Key Research and Development Program of China[2016YFC0600101] ; National Key Research and Development Program of China[2017YFC0601204] ; Natural Science Foundation of China (NSFC)[41474095]
WOS关键词	EMPIRICAL MODE DECOMPOSITION ; INVERSION
WOS研究方向	Geochemistry & Geophysics
语种	英语
出版者	SOC EXPLORATION GEOPHYSICISTS
WOS记录号	WOS:000457601800038
资助机构	Research and Development of the Key Instruments and Technologies for Deep Resource Prospecting ; Research and Development of the Key Instruments and Technologies for Deep Resource Prospecting ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Natural Science Foundation of China (NSFC) ; Natural Science Foundation of China (NSFC) ; Research and Development of the Key Instruments and Technologies for Deep Resource Prospecting ; Research and Development of the Key Instruments and Technologies for Deep Resource Prospecting ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Natural Science Foundation of China (NSFC) ; Natural Science Foundation of China (NSFC) ; Research and Development of the Key Instruments and Technologies for Deep Resource Prospecting ; Research and Development of the Key Instruments and Technologies for Deep Resource Prospecting ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Natural Science Foundation of China (NSFC) ; Natural Science Foundation of China (NSFC) ; Research and Development of the Key Instruments and Technologies for Deep Resource Prospecting ; Research and Development of the Key Instruments and Technologies for Deep Resource Prospecting ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Natural Science Foundation of China (NSFC) ; Natural Science Foundation of China (NSFC)
内容类型	期刊论文
源URL	[http://ir.iggcas.ac.cn/handle/132A11/90494]
专题	地质与地球物理研究所_中国科学院矿产资源研究重点实验室
通讯作者	Wu, Xin
作者单位	1.Chinese Acad Sci, Inst Elect, Beijing 100190, Peoples R China 2.Chinese Acad Sci Univ, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Key Lab Mineral Resources, Inst Geol & Geophys, Beijing 100029, Peoples R China 4.Chinese Acad Sci, Inst Earth Sci, Beijing 100029, Peoples R China
推荐引用方式 GB/T 7714	Wu, Xin,Xue, Guoqiang,Xiao, Pan,et al. The removal of the high-frequency motion-induced noise in helicopter-borne transient electromagnetic data based on wavelet neural network[J]. GEOPHYSICS,2019,84(1):K1-K9.
APA	Wu, Xin,Xue, Guoqiang,Xiao, Pan,Li, Jutao,Liu, Lihua,&Fang, Guangyou.(2019).The removal of the high-frequency motion-induced noise in helicopter-borne transient electromagnetic data based on wavelet neural network.GEOPHYSICS,84(1),K1-K9.
MLA	Wu, Xin,et al."The removal of the high-frequency motion-induced noise in helicopter-borne transient electromagnetic data based on wavelet neural network".GEOPHYSICS 84.1(2019):K1-K9.