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Volumn 39, Issue 7, 2001, Pages 1586-1595

A Bayesian classification model for sea ice roughness from scatterometer data

Author keywords

C band radar; Hierarchical models; Markov Chain Monte Carlo; Scatterometer; Sea ice; Surface roughness

Indexed keywords

C-BAND RADAR; HIERARCHICAL MODEL; MARKOV CHAIN MONTE CARLO METHOD; SCATTEROMETER;

EID: 0035391529     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/36.934090     Document Type: Article
Times cited : (4)

References (20)
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    • Helsinki, Finland: Finnish Inst. Marine Res.
    • (1996) Finnish Marine Res.
    • Manninen, T.1
  • 10
    • 0003716931 scopus 로고    scopus 로고
    • Laser profilometer measurements in the Bay of Bothnia during the ZIP-97 Experiment
    • Ship Lab. Rep. Series M-232, Helsinki Univ. Technol., Espoo, Finland
    • (1998)
    • Lensu, M.1
  • 17
    • 77956889087 scopus 로고
    • Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
    • (1995) Biometrika , vol.82 , pp. 711-732
    • Green, P.J.1
  • 20
    • 84862718605 scopus 로고    scopus 로고
    • The implementation of the MCMC algorithm to analyze scatterometer data
    • [Online]
    • (2000)
    • Similá, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.