Mélange de lois et segmentation non supervisée des données SPOT

Nicole Marhic; Pascale Masson; Wojciech Pieczynski

Statistique et analyse des données (1991)

  • Volume: 16, Issue: 2, page 59-79
  • ISSN: 0750-7364

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Marhic, Nicole, Masson, Pascale, and Pieczynski, Wojciech. "Mélange de lois et segmentation non supervisée des données SPOT." Statistique et analyse des données 16.2 (1991): 59-79. <http://eudml.org/doc/109010>.

@article{Marhic1991,
author = {Marhic, Nicole, Masson, Pascale, Pieczynski, Wojciech},
journal = {Statistique et analyse des données},
language = {fre},
number = {2},
pages = {59-79},
publisher = {Association pour la statistique et ses illustrations},
title = {Mélange de lois et segmentation non supervisée des données SPOT},
url = {http://eudml.org/doc/109010},
volume = {16},
year = {1991},
}

TY - JOUR
AU - Marhic, Nicole
AU - Masson, Pascale
AU - Pieczynski, Wojciech
TI - Mélange de lois et segmentation non supervisée des données SPOT
JO - Statistique et analyse des données
PY - 1991
PB - Association pour la statistique et ses illustrations
VL - 16
IS - 2
SP - 59
EP - 79
LA - fre
UR - http://eudml.org/doc/109010
ER -

References

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  3. Chalmond, B. (1989) An iterative Gibbsian technique for reconstruction of m-ary images. Pattern Recognition, Vol. 22, No.6, pp. 747-761. 
  4. Dempster, M.M. Laird, N.M. and Rubin, D.B. (1977) Maximum likehood from incomplete data via the EM algorithm. Journ.of the Roy Stat.Soc, Séries B, 39, pp. 1-38. Zbl0364.62022MR501537
  5. Devijver, P.A. and Dekesel, M.M. (1987) Learning the parameters of a hidden Markov random field image model : a simple example. Pattern Recog. Theory and Appl., NATO ASI Series, Vol. F30, pp 141-163. 
  6. Dubes, R.C. and Jain, A.K. (1989) Random field models in image analysis. Journ. of Appl. Stat., Vol. 6, No.2. 
  7. Geman, S. and Geman, D. (1984) Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images. IEEE Trans. on PAMI, PAMI-6, pp. 721-741. Zbl0573.62030
  8. Guyon, X. et Yao, J.F. (1987) Analyse discriminante contextuelle. Fifth Intern.Symp.of Data Anal.and Informatics, (INRIA, B.P. 105,78153 Le Chesnay Cedex). MR975057
  9. Marhic, N. and Pieczynski, W. (Juin 1991) Estimation of mixture and unsupervised segmentation of images. Proceedings of IGARSS, Helsinki, Finlande. 
  10. Marroquin, J. Mitter, S. and Poggio, T. (1987) Probabilistic solution of illposed problems in computational vision. Journ. of the AmStat. Ass., 82, pp. 76-89. Zbl0641.65100
  11. Masson, P. and Pieczynski, W. (Sept. 1990) Segmentation of SPOT images by contextual SEM. Proceedings of EUSIPCO, Barcelone, Espagne. 
  12. Pieczynski, W. (1989) Estimation of context in random fields. Jour. of Appl. Stat., Vol. 6, No. 2. Zbl0669.62083
  13. Pieczynski, W. (Nov. 1990) Mixture of distributions, Markov random fields and unsupervised segmentation of images. Rapport techn., No. 122, LSTA, Univ. de Paris 6. 
  14. Redner, R.A. and Walker, H.F.(Apr. 1984) Mixture densities, maximum likehood and the EM algorithm. Soc for Ind. and Appl.Math. Rev., Vol. 26, No. 2, pp. 195-239. Zbl0536.62021MR738930
  15. Tilton, J. Vardeman, S. and Swain, P. (Oct. 1982) Estimation of context for statistical classification of multispectral image data. IEEE Trans. on GRS, GE-20, No. 4, pp. 445-452. 
  16. Younes, L. (1988) Estimation and annealing for Gibbsian fields. Annales de l'Institut Henri Poincaré, 2. Zbl0651.62091MR953120

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