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Volumn 1451, Issue , 1998, Pages 630-639

Image classification using a stochastic model that reflects the internal structure of mixels

Author keywords

[No Author keywords available]

Indexed keywords

GRAPHIC METHODS; IMAGE CLASSIFICATION; SATELLITE IMAGERY; STOCHASTIC SYSTEMS;

EID: 22044457405     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0033287     Document Type: Conference Paper
Times cited : (2)

References (11)
  • 1
    • 0027334540 scopus 로고
    • Linear Mixing and the Estimation of Ground Cover Proportions
    • Settle, J.J. and Drake, N.A.: Linear Mixing and the Estimation of Ground Cover Proportions. Int. J. Remote Sensing, Vol. 14, No. 6, pp. 1159-1177, 1993.
    • (1993) Int. J. Remote Sensing , vol.14 , Issue.6 , pp. 1159-1177
    • Settle, J.J.1    Drake, N.A.2
  • 2
    • 0028184024 scopus 로고
    • Sub-Pixel Land Cover Composition Estimation Using a Linear Mixture Model and Fuzzy Membership Funct.Ions
    • Foody, G.M. and Cox, D.P. Sub-Pixel Land Cover Composition Estimation Using a Linear Mixture Model and Fuzzy Membership Funct.ions. Int. J. Remote Sensing, Vol. 15. No. 3, pp. 619-631, 1994.
    • (1994) Int. J. Remote Sensing , vol.15 , Issue.3 , pp. 619-631
    • Foody, G.M.1    Cox, D.P.2
  • 4
    • 0022237647 scopus 로고
    • Random Fractal Forgeries
    • Earnshaw, R.A., editor, Springer-Verlag
    • Voss, R.F.: Random Fractal Forgeries. In Earnshaw, R.A., editor, Fundamental Algorithms for Computer Graphics, pp. 805-835. Springer-Verlag, 1985.
    • (1985) Fundamental Algorithms for Computer Graphics , pp. 805-835
    • Voss, R.F.1
  • 7
    • 0005193305 scopus 로고
    • The Beta. Distribution: A Statistical Model for World Cloud Cover
    • Falls, L.W.: The Beta. Distribution: A Statistical Model for World Cloud Cover. Journal of Geophysical Research, Vol. 79, No. 9, pp. 1261-1264, 1974
    • (1974) Journal of Geophysical Research , vol.79 , Issue.9 , pp. 1261-1264
    • Falls, L.W.1
  • 8
    • 0021404166 scopus 로고
    • Mixture Densities, Maximum Likelihood and the EM algorithm
    • Redner, R.A, and Walker, H.F.: Mixture Densities, Maximum Likelihood and the EM algorithm. SIAM Review, Vol. 26. No. 2, pp. 195-239, 1984.
    • (1984) SIAM Review , vol.26 , Issue.2 , pp. 195-239
    • Redner, R.A.1    Walker, H.F.2
  • 9
    • 0012451697 scopus 로고
    • Interdependence of Learning and Self-Learning in Pattern Recognition
    • Schtesinger, M.I.: Interdependence of Learning and Self-Learning in Pattern Recognition. Cybernetics, No. 2, pp. 81-87, 1968.
    • (1968) Cybernetics , vol.2 , pp. 81-87
    • Schtesinger, M.I.1
  • 10
    • 19544394843 scopus 로고    scopus 로고
    • A Stochastic Model of Mixels and Image Classification
    • Wien
    • Kitamoto, A. and Takagi, M.: A Stochastic Model of Mixels and Image Classification. In Proc, of 13th ICPR, pp. 745-749, Wien, 1996.
    • (1996) Proc, of 13Th ICPR , pp. 745-749
    • Kitamoto, A.1    Takagi, M.2
  • 11
    • 0000501656 scopus 로고
    • Information Theory and an Extension of the Maximum Likelihood Principle
    • Petrov, B.N. and Csaki, F., editors
    • Akaike H.: Information Theory and an Extension of the Maximum Likelihood Principle. In Petrov, B.N. and Csaki, F., editors, 2nd Inter. Syrup. on Information Theory, pp. 267-281, 1973.
    • (1973) 2Nd Inter. Syrup. On Information Theory , pp. 267-281
    • Akaike, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.