Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Chinese Journal of Geophysics》 2015-08
Add to Favorite Get Latest Update

Noise removal based on reconstruction of filtered principal components

WANG Ling-Qun;LI Bing-Bing;LIN Jun;XIE Bin;WANG Qi;CHENG Yu-Qi;ZHU Kai-Guang;Key Laboratory of Geo-Exploration Instrumentation,Ministry of Education,JiLin University;  
Airborne electromagnetic data has complex noise due to the flight environment,changes of system parameters and device parameters.The traditional time-frequency approach is difficult to remove noise.PCA(principal component analysis)can remove the noise which overlaps with the signal frequency spectrum.However the low-order components still contain high frequency spatial noise.To solve this problem,this work proposes the reconstruction of filtered principal components which can not only remove the high-frequency spatial noise of loworder components,but also remove uncorrelated noise of high-order components.This approach uses filtered principal components to reconstruct electromagnetic data.Firstly,it computes eigenvectors and eigenvalues matrix of the correlation matrix and the principal component profiles which are uncorrelated. The low-order principal components associated with the big eigenvalues reflect the correlated electromagnetic signals,while high-order principal components associated with the small eigenvalues are corresponding to the uncorrelated noise.It operates by first filtering the principal component profiles with the widest filter.Then according to local variation of each smoothed principal component profile,agroup of low-passfilters is designed.Local variation of each smoothed principal component profile is converted linearly into adaptive smoothing filter window width of the measuring point.So each principal component profile is filtered by the corresponding filter.Finally,filtered low-order principal components are used to reconstruct electromagnetic signal.This paper designed a pseudo-2Dearth model with a deep target.The noise added to it drowned the target of later channels and the CDI(conductivity depth imaging)cannot reflect the deep target.After PCA processing,principal component profiles of noise-contaminated data have high frequency spatial noise compared with those of the forward data.The peak to peak of noise amplitude of the first principal component is about 0.005nT/s.With an adaptive window wide filter,noise of the principal component profile is significantly reduced and consistent with the forward data mostly.The data is processed by three de-noising methods.The later channels profiles by the traditional profile filter have no obvious target and CDI cannot reflect the deep target either.The later channels profiles by principal component reconstruction still contain high frequency noise,impacting identification of the deep target.But data by filtered principal component reconstruction not only eliminates high frequency noise,but also ensures the magnitude of the target.It shows the more accurate position and shape.SNR is improved by 10.96 dB and 2.52 dB relative to the other two methods.This work deniosed one survey line measured in Henan Province.The CDI results of other two methods exhibit low-resistance target diffusion phenomenon to different degrees and cannot show exact location of the target for this survey line.But the CDI by filtered principal component reconstruction indicates that the algorithm in this paper can suppress high frequency noise effectively,consistent with real local condition.ATEM data is converted into the principal component domain.A group of low-pass filters is able to change the filter bandwidth adaptively according to local variation of each principal component profile.It can not only filter out high frequency spatial noise,but also maintain the target amplitude.At the same time,it also improves the SNR of latest channel data and enhances the ability to identify the deep target after filtered principal component reconstruction.Filtered principal component reconstruction is an important complement to noise processing of time and frequency domain,providing a new line of thought for decomposition and synthesis of the transform domain and de-noising processing of geophysical data.
【Fund】: 国家高技术研究发展计划项目(2013AA063904);; 国家自然科学基金项目(41274076);; 国家重大科研装备研制项目(ZDYZ2012-1-03)联合资助
【CateGory Index】: P631.326
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【Citations】
Chinese Journal Full-text Database 6 Hits
1 Zhu Kai-Guang1, Ma Ming-Yao1, Che Hong-Wei1 Yang Er-Wei1, Ji Yan-Ju1, Yu Sheng-Bao1, and Lin Jun11. Key Laboratory of Geo-exploration Instrumentation, College of Instrumentation and Electrical Engineering Changchun, Jilin University, Changchun, Jilin, 130026, China;PC-based artif icial neural network inversion for airborne time-domain electromagnetic data[J];应用地球物理(英文版);2012-01
2 ZHU Kai-Guang,LIN Jun~*,HAN Yue-Hui,LI Nan Key Laboratory of Geo-Exploration Instrumentation,College of Instrumentation and Electrical Engineering,Jilin University,Changchun 130026,China;Research on conductivity depth imaging of time domain helicopter-borne electromagnetic data based on neural network[J];Chinese Journal of Geophysics;2010-03
3 Chang Wei-wei Guo Lei Liu Kun Fu Zhao-yang (Institute of Automatic, Northwest Polytechnical University, Xi'an 710072, China);Denoising of Hyperspectral Data Based on Contourlet Transform and Principal Component Analysis[J];Journal of Electronics & Information Technology;2009-12
4 YAO Li-li1,FENG Xiang-chu1,LI Ya-feng1,2(1 Department of Applied Mathematics,Xidian University,Xi′an 710071,China)(2 Department of Computer Science,Baoji University of Arts and Science,Baoji,Shaanxi 721007,China);Principal Component Analysis Method for Muitiplicative Noise Removal[J];Acta Photonica Sinica;2011-07
5 YIN Chang-Chun;HUANG Wei;BEN Fang;College of Geo-exploration Science and Technology,Jilin University;;The full-time electromagnetic modeling for time-domain airborne electromagnetic systems[J];Chinese Journal of Geophysics;2013-09
6 ZHU Kai-guang;WANG Ling-qun;XIE Bin;WANG Qi;CHENG Yu-qi;LIN Jun;School of Instrumentation and Electrical Engineering, Jilin University;;Noise removal for airborne electromagnetic data based on principal component analysis[J];The Chinese Journal of Nonferrous Metals;2013-09
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 Bi Chao, Jiang Bo(College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China);STUDY OF THE RESIDENCE TIME DISTRIBUTION IN THE BUSS KNEADER[J];Engineering Plastics Application;2007-12
2 WANG Gui-zhu 1,LI Jie 2 1(Department of EEIS of Anhui University, Hefei 230039,China) 2(Institute of Electronic Science,Hefei 230061,China);The Decoupling Equivalent of the Coupling Inductor Containing a Common Node[J];JOURNAL OF ANHUI UNIVERSITY(NATURAL SCIENCES);1999-03
3 SHI Yu-jun,MA Yong-jie, HOU Wen-jing;The Emitter Circuit Processing and Simulation in the S-domain[J];Journal of Anhui Vocational & Technical College;2009-03
4 XU Xiu-ying(School of Computer and Information,Hefei University of Technology,Hefei 230009,China);Transformation of Network Impulse Variables[J];Journal of Anhui Institute of Architecture & Industry(Natural Science);2008-06
5 ZHU Jianfei(Department of Mechanical& Electronic Engineering, Shaoxing College of Arts and Sciences, Shaoxing312000, China);Analysis on the Differential Amplifiers with Signal Flow Graph Method[J];Journal of Ankang Teachers College;2003-02
6 DING Lei(School of Physics and Electrical Engineering of Anqing Teachers College,Anqing 246133,China);Discussion on Criterion of System Stability[J];Journal of Anqing Teachers College(Natural Science Edition);2007-04
7 YANG Fu-tao,SUN Peng(Department of Physics,Anshan Normal University,Anshan Liaoning 114007,China);Discussion on Non-periodic Function Carried out by Fourier Series when Calculating Power[J];Journal of Anshan Normal University;2009-02
8 TONG Shou-feng, RUAN Jin, HAO Zhi-hang ( Changchun Institute of Optics and Fine Mechanics,Chinese Academy of Sciences, Changchun 130022,China);Study on Topological Schemes of Correlated Double Sampling[J];SEMICONDUCTOR OPTOELECTRONICS;2000-05
9 JIANG Junwei,DUAN Xiaohui,LIN YangDepartment of Electronics,School of Electronics Engineering and Computer Science,Peking University,Beijing 100871;The Research of Estimation Method for GPS C/N0[J];Acta Scientiarum Naturalium Universitatis Pekinensis;2008-04
10 Huang Jing 1) Qi Dongxu 1,2) Tang Zesheng 1,3) (1)Faculty of Information Technology, Macao University of Science and Technology, Macao, China 2) CAD Center, North China Univ. of Tech., 100041, Beijing ,China 3)Depart. of Computer Science and Technology, Tsinghua University, 100081, Beijing, China);Many-knot Mode Functions of Multi-resolution Scheme for Data Decomposition[J];Journal of North China University of Technology;2004-01
China Proceedings of conference Full-text Database 10 Hits
1 ;电网谐波对数字式继电保护的影响[A];[C];2007
2 YanChaoJun~1 Xiang liu~2 College of Electrical Engineering and Information Technology ,Three Gorges University 443002;An Efficient Implementation of GMSK Modulator[A];[C];2008
3 Li-BaoZhong Cheng-YinHui Li-JingXi Wu-Wei Ma-Liang Zhou-Hui (Northwest Institute of Nuclear Technology,P.O.Box 69,Ext.10,Xi'an,710024);The Test for Interference Transmissive Function With Method of Pulse Current Injection[A];[C];2008
4 Li-BaoZhong Cheng-YinHui Li-JingXi Wu-Wei Ma-Liang Zhou-Hui (Northwest Institute of Nuclear Technology,P.O.Box 69,Ext.10,Xi'an,710024);The Test for Interference Transmissive Function With Method of Pulse Current Injection[A];[C];2008
5 Hu Tao (Department of Electrical and Information Engineering,Wuhan Polytechnic University,Wuhan 430023,China);Application of Matlab in Signal and Systems[A];[C];2010
6 Ni Zhen-wen Liu Zu-run Shen Hong-yuan Liu Kun-shan (School of Information Science and Electric Engineering, Hunan University of Science and Technology Hunan Xiangtan, 400201 China);Discussion on Teaching Method Reform in the Courses of Signal & System and DSP[A];[C];2004
7 PU Jie,XIAO Ling,WU Wen-tao,LI Xiao-xue (Institute of Acoustics,Chinese Academy of Sciences,Beijing 100190,China);Wiener filter used in the ultrasonic levelmeter[A];[C];2009
8 Wu cong~(1,2) Wang Hong ying~(1,2) Li Hong cheng~(1,2) Zhou chui~(1,2) Hu Cheng tai~(1,2) 1.Changan Auto Global R&D Center,Chongqing,401120 2.State Key Laboratory of Vehicle NVH and Safety Technology,Chongqing,401120;The Beat Vibration Analysisand Optimization of Vehicle Steering Wheel[A];[C];2013
9 ZHAO Chun-Lei,LU Chuan,HAO Tian-Yao~*,ZHANG Yan Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing 100029,China;A study of the high-precision modular lightweight small vibrator[A];[C];2014
10 ZHANG Gui-xiang;ZHENG Liang-liang;HE Xiao-jun;National & Local United Engineering Research Center of small satellite technology,Changchun Institute of Optics fine Mechanics and Physics,Chinese Academy of Sciences;;Crosstalk Noise Analyzing and Processing for Multi-TDICCD Remote Sensing Camera[A];[C];2013
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 Zhu Kai-Guang1, Ma Ming-Yao1, Che Hong-Wei1 Yang Er-Wei1, Ji Yan-Ju1, Yu Sheng-Bao1, and Lin Jun11. Key Laboratory of Geo-exploration Instrumentation, College of Instrumentation and Electrical Engineering Changchun, Jilin University, Changchun, Jilin, 130026, China;PC-based artif icial neural network inversion for airborne time-domain electromagnetic data[J];应用地球物理(英文版);2012-01
2 ZHU Kai guang LIN Jun Cheng De fu (College of Electrical Science and Engineering of Jilin University,Changchun Jilin 130026, China);Numerical computation of high frequency electromagnetic fields under MATLAB[J];Chinese Journal of Radio Science;2002-03
3 QIANG Jian-ke~1,LUO Yan-zhong~2,TANG Jing-tian~1,LI Yong-xing~(1 *) (1.School of Info-physics and Geomatics Engineering,Central South University,Changsha 410083,China; 2.China University of Geosciences,Wuhan 430074,China);The algorithm of all-time apparent resistivity for Airborne Transient Electromagnetic(ATEM)survey[J];Progress in Geophysics;2010-05
4 WU Xiao-ping~(1,2) , LIU Jian-xin~(1,2) (1.School of Geosciences and Info-Physics , Central South University ,Changsha 410083, China; 2.Key Laboratory of Non-ferrous Resources and Geological Hazard Detection , Changsha 410083, China;A generalized time-domain electromagnetic sounding——The δ function electromagnetic sounding[J];Progress in Geophysics;2010-06
5 Piao Hua-rong Sha Shu-qin Wang Yan-liang (Changchun Geological Institute);TIME DOMAIN ELECTROMAGNETIC RESPONSE ABOVE THE SURFACE OF A HOMOGENEOUS EARTH[J];Chinese Journal of Geophysics;1980-02
6 LUO YANZHONG 1 ZHANG SHENGYE 1 WANG WEIPING 2 T8.BX]1China University of Geosciences, Wuhan 430074, China 2China Aerogeophysical Survey & Remote Sensing for Land and Resources, Beijing 100083, China;A RESEARCH ON ONE-DIMENSION FORWARD FOR AERIAL ELECTROMAGNETIC METHOD IN TIME DOMAIN[J];Chinese Journal of Geophysics;2003-05
7 XU Hai-Lang, WU Xiao-PingCAS Key Laboratory of Crust-Mantle Materials and Environments, School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China;2-D resistivity inversion using the neural network method[J];Chinese Journal of Geophysics;2006-02
8 ZHU Kai-Guang,LIN Jun~*,HAN Yue-Hui,LI Nan Key Laboratory of Geo-Exploration Instrumentation,College of Instrumentation and Electrical Engineering,Jilin University,Changchun 130026,China;Research on conductivity depth imaging of time domain helicopter-borne electromagnetic data based on neural network[J];Chinese Journal of Geophysics;2010-03
9 LI Ya-feng1,2,FENG Xiang-chu1(1.Department of Applied Mathematics,Xidian University,Xi′an,Shaanxi 710071,China;2.Department of Computer Science,Baoji University of Arts and Science,Baoji,Shaanxi 721013,China);The Split Bregman Method for L1 Projection Problems[J];Acta Electronica Sinica;2010-11
10 Zhang Jin Fang Yong (School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China);An Independent Component Analysis Algorithm Based on Block-wise Contourlet Transform[J];Journal of Electronics & Information Technology;2007-08
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved