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Volumn 75, Issue 6, 2010, Pages

Noise reduction and drift removal using least-squares support vector regression with the implicit bias term

Author keywords

[No Author keywords available]

Indexed keywords

GEOPHYSICAL PROSPECTING; NOISE ABATEMENT; RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS; SEISMIC RESPONSE; SEISMIC WAVES; VECTORS; WAVELET TRANSFORMS;

EID: 84857240452     PISSN: 00168033     EISSN: None     Source Type: Journal    
DOI: 10.1190/1.3506602     Document Type: Article
Times cited : (21)

References (17)
  • 1
    • 0025251244 scopus 로고
    • Weighted stacking of seismic data using amplitude-decay rates and noise amplitudes
    • 8uc GPPRAR, 0016-8025, 10.1111/j.1365-2478.1990.tb01851.x
    • Anderson, R. G., and G. A. Mcmechan, 1990, Weighted stacking of seismic data using amplitude-decay rates and noise amplitudes: Geophysical Pros-pecting, 38, no. 4, 365-380. 8uc GPPRAR 0016-8025 10.1111/j.1365-2478.1990.tb01851.x
    • (1990) Geophysical Pros-pecting , vol.38 , Issue.4 , pp. 365-380
    • Anderson, R.G.1    Mcmechan, G.A.2
  • 2
    • 33947108542 scopus 로고    scopus 로고
    • Local singular value decomposition for signal enhancement of seismic data
    • V59-V65., gpy GPYSA7, 0016-8033, 10.1190/1.2435967
    • Bekara, M., and M. Van der Baan, 2007, Local singular value decomposition for signal enhancement of seismic data: Geophysics, 72, no. 2, V59-V65. gpy GPYSA7 0016-8033 10.1190/1.2435967
    • (2007) Geophysics , vol.72 , Issue.2
    • Bekara, M.1    Van der Baan, M.2
  • 3
    • 85058791287 scopus 로고
    • Random noise reduction: 54th annual SEG meeting, Atlanta
    • Canales, L. L., 1984, Random noise reduction: 54th annual SEG meeting, Atlanta, 525-527.
    • (1984) , pp. 525-527
    • Canales, L.L.1
  • 4
    • 48149094809 scopus 로고    scopus 로고
    • The second-generation wavelet transform and its application in denoising of seismic data
    • 10.1007/s11770-005-0034-4
    • Cao, S. Y., and X. P. Chen, 2005, The second-generation wavelet transform and its application in denoising of seismic data: Applied Geophysics, 2, 70-74. 10.1007/s11770-005-0034-4
    • (2005) Applied Geophysics , vol.2 , pp. 70-74
    • Cao, S.Y.1    Chen, X.P.2
  • 5
    • 42949155727 scopus 로고    scopus 로고
    • Ricker wavelet LS-SVM and its parameters setting for seismic prospecting signals denoising, Second international conference of space information technology, Wuhan, China, Vol. 67951H1-5.
    • Deng, X. Y., Y. Li, and B. J. Yang, 2007, Ricker wavelet LS-SVM and its parameters setting for seismic prospecting signals denoising: Proceedings of SPIE, Second international conference of space information technology, Wuhan, China, Vol. 6795 67951H1-5.
    • (2007) Proceedings of SPIE , vol.6795
    • Deng, X.Y.1    Li, Y.2    Yang, B.J.3
  • 6
    • 70449643100 scopus 로고    scopus 로고
    • Noise reduction by support vector regression with Ricker wavelet kernel
    • bo3, 1742-2132, 10.1088/1742-2132/6/2/009
    • Deng, X. Y., D. H. Yang, and J. Xie, 2009, Noise reduction by support vector regression with Ricker wavelet kernel: Journal of Geophysics and Engineering, 6, no. 2, 177-188. bo3 ZZZZZZ 1742-2132 10.1088/1742-2132/6/2/009
    • (2009) Journal of Geophysics and Engineering , vol.6 , Issue.2 , pp. 177-188
    • Deng, X.Y.1    Yang, D.H.2    Xie, J.3
  • 7
    • 0031104569 scopus 로고    scopus 로고
    • Improving the performance of f-x prediction filtering at low signal-to-noise radio
    • 8uc GPPRAR, 0016-8025, 10.1046/j.1365-2478.1997.00347.x
    • Harris, P. E., and R. E. White, 1997, Improving the performance of f-x prediction filtering at low signal-to-noise radio: Geophysical Prospecting, 45, no. 2, 269-302. 8uc GPPRAR 0016-8025 10.1046/j.1365-2478.1997.00347.x
    • (1997) Geophysical Prospecting , vol.45 , Issue.2 , pp. 269-302
    • Harris, P.E.1    White, R.E.2
  • 8
    • 38149091840 scopus 로고    scopus 로고
    • Curvelet-based seismic data processing: a multiscale and nonlinear approach
    • A1-A5., gpy GPYSA7, 0016-8033, 10.1190/1.2799517
    • Herrmann, F. J., D. L. Wang, G. Hennenfent, and P. P. Moghaddam, 2008, Curvelet-based seismic data processing: a multiscale and nonlinear approach: Geophysics, 73, no. 1, A1-A5. gpy GPYSA7 0016-8033 10.1190/1.2799517
    • (2008) Geophysics , vol.73 , Issue.1
    • Herrmann, F.J.1    Wang, D.L.2    Hennenfent, G.3    Moghaddam, P.P.4
  • 9
    • 48149090571 scopus 로고    scopus 로고
    • Recovery of seismic events by time-frequency peak filtering: Proc. IEEE Int. Conf. Image Processing, V: .
    • Lin, H. B., Y. Li, and B. J. Yang, 2007, Recovery of seismic events by time-frequency peak filtering: Proc. IEEE Int. Conf. Image Processing, V: 441-444.
    • (2007) , pp. 441-444
    • Lin, H.B.1    Li, Y.2    Yang, B.J.3
  • 10
    • 58149465399 scopus 로고    scopus 로고
    • A 1D time-varying median filter for seismic random, spike-like noise elimination
    • no, V17-V24., gpy GPYSA7, 0016-8033, 10.1190/1.3043446
    • Liu, Y., C. Liu, and D. Wang, 2009, A 1D time-varying median filter for seismic random, spike-like noise elimination: Geophysics, 74, no 1, V17-V24. gpy GPYSA7 0016-8033 10.1190/1.3043446
    • (2009) Geophysics , vol.74 , Issue.1
    • Liu, Y.1    Liu, C.2    Wang, D.3
  • 11
    • 33644884701 scopus 로고    scopus 로고
    • Adaptive noise attenuation of seismic images based on singular value decomposition and texture direction detection
    • bo3, 1742-2132, 10.1088/1742-2132/3/1/004
    • Lu, W. K., 2006, Adaptive noise attenuation of seismic images based on singular value decomposition and texture direction detection: Journal of Geophysics and Engineering, 3, no. 1, 28-34. bo3 ZZZZZZ 1742-2132 10.1088/1742-2132/3/1/004
    • (2006) Journal of Geophysics and Engineering , vol.3 , Issue.1 , pp. 28-34
    • Lu, W.K.1
  • 13
    • 84857485895 scopus 로고
    • Encyclopedic dictionary of exploration geophysics: SEG.
    • Sheriff, R. E., 1994, Encyclopedic dictionary of exploration geophysics: SEG.
    • (1994)
    • Sheriff, R.E.1
  • 14
    • 0006503735 scopus 로고    scopus 로고
    • General cost functions for support vector regression: Proc. of the 8th Int. Conf. Artificial Neural Networks, Australian
    • Smola, A. J., B. Schölkopf, and K.-R. Müller, 1998, General cost functions for support vector regression: Proc. of the 8th Int. Conf. Artificial Neural Networks, Australian, 79-83.
    • (1998) , pp. 79-83
    • Smola, A.J.1    Schölkopf, B.2    Müller, K.3
  • 15
    • 0032638628 scopus 로고    scopus 로고
    • Least squares support vector machine classifiers
    • 10.1023/A:1018628609742
    • Suykens, J. A. K., and J. Vandewalle, 1999, Least squares support vector machine classifiers: Neural Processing Letters, 9, no. 3, 293-300. 10.1023/A:1018628609742
    • (1999) Neural Processing Letters , vol.9 , Issue.3 , pp. 293-300
    • Suykens, J.A.K.1    Vandewalle, J.2
  • 16
    • 84857493600 scopus 로고    scopus 로고
    • The MathWorks Inc., MATLAB, The language of Technical Computing, Version 7.0.0.19920(R14).
    • The MathWorks Inc., 2004, MATLAB, The language of Technical Computing, Version 7.0.0.19920(R14).
    • (2004)
  • 17
    • 84857468784 scopus 로고
    • The nature of statistical learning theory: Springer-Verlag.
    • Vapnik, V. N., 1995, The nature of statistical learning theory: Springer-Verlag.
    • (1995)
    • Vapnik, V.N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.