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Volumn 12, Issue 2, 2005, Pages 101-104

Lidar signal denoising using least-squares support vector machine

Author keywords

Denoising; Function regression; Lidar; Support vector machine

Indexed keywords

DIGITAL FILTERS; LAGRANGE MULTIPLIERS; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; OPTICAL RADAR; OPTIMIZATION; REGRESSION ANALYSIS; SPURIOUS SIGNAL NOISE;

EID: 13244265605     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2004.836938     Document Type: Article
Times cited : (58)

References (10)
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  • 2
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    • Stelmaszczyk, K.1
  • 3
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    • A. B. Utkin, "Detection of small forest fires by Lidar," Appl. Phys., vol B 74, pp. 77-83, 2002.
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    • Utkin, A.B.1
  • 5
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    • Vapnik, V.1
  • 6
    • 0036825528 scopus 로고    scopus 로고
    • "Weighted least squares support vector machines: Robustness and sparse approximation"
    • Oct
    • J. A. K. Suykens, J. D. Brabanter, and L. Lukas, "Weighted least squares support vector machines: Robustness and sparse approximation," Neurocomputing, vol. 48, pp. 85-105, Oct. 2002.
    • (2002) Neurocomputing , vol.48 , pp. 85-105
    • Suykens, J.A.K.1    Brabanter, J.D.2    Lukas, L.3
  • 9
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    • "Least squares support vector machine classifiers"
    • J. A. K. Suykens and J. Vandewalle, "Least squares support vector machine classifiers," Neural Process. Lett., vol. 9, pp. 293-300, 1999.
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    • Suykens, J.A.K.1    Vandewalle, J.2
  • 10
    • 1242287422 scopus 로고    scopus 로고
    • "Noise reduction in Lidar signal based on discrete wavelet transform"
    • H.-T. Fang and D. S. Huang, "Noise reduction in Lidar signal based on discrete wavelet transform," Opt. Commun., vol. 233, no. 1-3, pp. 67-76, 2004.
    • (2004) Opt. Commun. , vol.233 , Issue.1-3 , pp. 67-76
    • Fang, H.-T.1    Huang, D.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.