Buselli G, Hwang H S, Pik J P. 1998. AEM noise reduction with remote referencing. Exploration Geophysics, 29(2):71-76.
[2]
Chang W W, Guo L, Liu K, et al. 2009. Denoising of hyperspectral data based on contourlet transform and principal component analysis. Journal of Electronics & Information Technology(in Chinese), 31(12):2892-2896.
[3]
Chawla M P S. 2011. PCA and ICA processing methods for removal of artifacts and noise in electrocardiograms:A survey and comparison. Applied Soft Computing, 11(2):2216-2226.
[4]
Green A. 1998. The use of multivariate statistical techniques for the analysis and display of AEM data. Exploration Geophysics, 29(2):77-82.
[5]
Jones I F, Levy S. 1987. Signal-to-noise ratio enhancement in multichannel seismic data via the karhunen-loéve transform. Geophysical Prospecting, 35(1):12-32.
[6]
Kass M A, Li Y G. 2007. Use of principal component analysis in the de-noising and signal-separation of transient electromagnetic data. The 3rdInternational Conference on Environmental and Engineering Geophysics(ICEEG). Wuhan, China.
[7]
Kass M A, Li Y G, Krahenbuhl R, et al. 2010. Enhancement of TEM data and noise characterization by principal component analysis. Douglas Oldenburg:Department of Geophysics Colorado School of Mines.
[8]
Lane R, Green A, Golding C, et al. 2000. An example of 3D conductivity mapping using the TEMPEST airborne electromagnetic system. Exploration Geophysics, 31(2):162-172.
[9]
Lane R, Plunkett C, Price A, et al. 1998. Streamed data—a source of insight and improvement for time domain airborne EM. Exploration Geophysics, 29(2):16-23.
[10]
Li N. 2009. Research on Airborne time-domain electromagnetic data preprocessing (in Chinese). Changchun:Jilin University.
[11]
Lü D W. 2011. Methods study of helicopter-borne towed bird time domain electromagnetic data processing (in Chinese). Chengdu:Chengdu University of Technology.
[12]
Macnae J C, Ltagne Y, West G F. 1984. Noise processing techniques for time-domain EM systems. Geophysics, 49(7):934-948.
[13]
Minty B, Hovgaard J. 2002. Reducing noise in gamma-ray spectrometry using spectral component analysis. Exploration Geophysics, 33(4):172-176.
[14]
O''Connell M D. 2010. Adaptive width filters for GEOTEM data. Canada, Ottawa:Consultant to Fugro Airborne Surveys.
[15]
Qian D, Fowler J E. 2007. Hyperspectral image compression using JPEG2000 and principal component analysis. IEEE Geoscience and Remote Sensing Letters, 4(2):201-205.
[16]
Ridsdill-Smith T A, Dentith M C. 1999. The wavelet transform in aeromagnetic processing. Geophysics, 64(4):1003-1013.
[17]
Yao L L, Feng X C, Li Y F. 2011. Principal component analysis method for muitiplicative noise removal. Acta Photonica Sinica(in Chinese), 40(7):1031-1035.
[18]
Yin C C, Huang W, Ben F. 2013. The full-time electromagnetic modeling for time-domain airborne electromagnetic system. Chinese Journal of Geophysics(in Chinese), 53(3):743-750, doi:10.6038/cjg20130928.
[19]
Zheng J L, Ying Q H, Yang W L. 2000. Signals and Systems(in Chinese). Beijing:Higher Education Press.
[20]
Zhu K G, Lin J, Han Y H, et al. 2010. Research on conductivity depth imaging of time domain helicopter-borne electromagnetic data based on neural network. Chinese Journal of Geophysics(in Chinese), 53(3):743-750, doi:10.3969/j.issn.0001-5733.2010.03.030.
[21]
Zhu K G, Ma M Y, Che H W, et al. 2012. PC-based artificial neural network inversion for airborne time-domain electromagnetic data. Applied Geophysics, 9(1):1-8.
[22]
Zhu K G, Wang L Q, Xie B, et al. 2013. Noise removal for airborne electromagnetic data based on principal component analysis. The Chinese Journal of Nonferrous Metals(in Chinese), 23(9):2430-2435.
