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Volumn 4, Issue 1, 2008, Pages 173-176

Baltic sea ice thickness charts based on thermodynamic snow/ice model, c-band sar classification and ice motion detection

Author keywords

C band; Ice Thickness Estimation; SAR; Sea Ice; Thermodynamic Snow Ice Model

Indexed keywords

GEOLOGY; NAVIGATION CHARTS; REMOTE SENSING; SEA ICE; SNOW; SYNTHETIC APERTURE RADAR; THERMODYNAMICS; THICKNESS MEASUREMENT;

EID: 67649825751     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2008.4779685     Document Type: Conference Paper
Times cited : (4)

References (8)
  • 2
    • 0032100362 scopus 로고    scopus 로고
    • Modeling of ice thermodynamics in natural water bodies
    • J. Launiainen and B. Cheng, "Modeling of ice thermodynamics in natural water bodies," Cold Reg. Sci Technol., vol. 27, no. 3, pp. 153-178, 1998.
    • (1998) Cold Reg. Sci Technol , vol.27 , Issue.3 , pp. 153-178
    • Launiainen, J.1    Cheng, B.2
  • 3
    • 4744342915 scopus 로고    scopus 로고
    • Modeling of the superimposed ice formation and sub-surface melting in the baltic sea
    • B. Cheng, T. Vihma, and J. Launiainen, "Modeling of the superimposed ice formation and sub-surface melting in the baltic sea," Geophysica, vol. 39, no. 1-2, pp. 31-50, 2003.
    • (2003) Geophysica , vol.39 , Issue.1-2 , pp. 31-50
    • Cheng, B.1    Vihma, T.2    Launiainen, J.3
  • 6
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • K. Hornik, M. Stinchcombe, and H.White, "Multilayer feedforward networks are universal approximators," Neural Networks, vol. 2, no. 5, pp. 359-366, 1989.
    • (1989) Neural Networks , vol.2 , Issue.5 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.