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Volumn 4877, Issue , 2002, Pages 144-155

Bayesian segmentation and clustering for determining cloud mask images

Author keywords

Bayes factor; BIC; Earth observation; Gaussian mixture model; Karhunen Lo ve transform; Markov model; Multiband image; PLIC; Principal components analysis; Segmentation

Indexed keywords

IMAGE SEGMENTATION; MARKOV PROCESSES; MATHEMATICAL MODELS; PRINCIPAL COMPONENT ANALYSIS;

EID: 0041731729     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.463768     Document Type: Conference Paper
Times cited : (2)

References (9)
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    • Determining the number of colors or gray levels in an image using approximate Bayes factors: The pseudolikelihood information criterion (PLIC)
    • Department of Statistics, University of Washington
    • D. Stanford and A. Raftery, "Determining the number of colors or gray levels in an image using approximate Bayes factors: the pseudolikelihood information criterion (PLIC)," tech. rep., Department of Statistics, University of Washington, 2001.
    • (2001) Tech. Rep.
    • Stanford, D.1    Raftery, A.2
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    • J. Besag, "Statistical analysis of non-lattice data," Statistician 24, pp. 179-195, 1975.
    • (1975) Statistician , vol.24 , pp. 179-195
    • Besag, J.1
  • 9
    • 0141879236 scopus 로고    scopus 로고
    • Model selection and the principle of minimum description length
    • M. Hansen and B. Yu, "Model selection and the principle of minimum description length," Journal of the American Statistical Association 96, pp. 746-774, 2001.
    • (2001) Journal of the American Statistical Association , vol.96 , pp. 746-774
    • Hansen, M.1    Yu, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.