C. Biernacki, G. Celeux, and G. Govaert, Strategies for getting highest likelihood in mixture models, Research Report, vol.4255, 2001.
URL : https://hal.archives-ouvertes.fr/inria-00072333

G. Celeux, D. Chauveau, and J. Diebolt, On stochastic versions of the EM algorithm, 1995.
URL : https://hal.archives-ouvertes.fr/inria-00074164

M. Cheney, A Mathematical Tutorial on Synthetic Aperture Radar, SIAM Review, vol.43, issue.2, pp.301-312, 2001.
DOI : 10.1137/S0036144500368859

Y. Delignon and W. Pieczynski, Modeling non-Rayleigh speckle distribution in SAR images, IEEE Transactions on Geoscience and Remote Sensing, vol.40, issue.6, pp.1430-1435, 2002.
DOI : 10.1109/TGRS.2002.800234

A. P. Dempster, N. M. Laird, and D. B. Rubin, Maximum likelihood from incomplete data and the EM algorithm, Journal of the Royal Statistical Society, issue.39, pp.1-38, 1977.

M. A. Figueiredo and A. K. Jain, Unsupervised learning of finite mixture models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.3, pp.381-396, 2002.
DOI : 10.1109/34.990138

K. Fukunaga, Introduction to statistical pattern recognition, 1990.

V. Krylov, G. Moser, S. Serpico, and J. Zerubia, Modeling the statistics of high resolution SAR images, Research Report, vol.6722, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00342681

E. E. Kuruoglu and J. Zerubia, Modeling SAR Images With a Generalization of the Rayleigh Distribution, IEEE Transactions on Image Processing, vol.13, issue.4, pp.527-533, 2004.
DOI : 10.1109/TIP.2003.818017

H. Li, W. Hong, and Y. Wu, Generalized gamma distribution with MoLC estimation for statistical modeling of SAR images, Proceedings of APSAR 2007. 1st Asian and Pacific Conference, pp.525-528, 2007.

P. Masson and W. Pieczynski, SEM algorithm and unsupervised statistical segmentation of satellite images, IEEE Transactions on Geoscience and Remote Sensing, vol.31, issue.3, pp.618-633, 1993.
DOI : 10.1109/36.225529

U. Maulik and S. Bandyopadhyay, Performance evaluation of some clustering algorithms and validity indices, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.12, pp.1650-1654, 2002.
DOI : 10.1109/TPAMI.2002.1114856

G. Moser, S. Serpico, and J. Zerubia, Dictionary-based stochastic expectation-maximization for SAR amplitude probability density function estimation, IEEE Transactions on Geoscience and Remote Sensing, vol.44, issue.1, pp.188-199, 2006.
DOI : 10.1109/TGRS.2005.859349

URL : https://hal.archives-ouvertes.fr/inria-00561369

G. Moser, J. Zerubia, and S. B. Serpico, SAR amplitude probability density function estimation based on a generalized Gaussian model, IEEE Transactions on Image Processing, vol.15, issue.6, pp.1429-1442, 2006.
DOI : 10.1109/TIP.2006.871124

URL : https://hal.archives-ouvertes.fr/inria-00561372

J. Nicolas, Introduction aux statistiques dedeuxì eme espéce: application aux lois d'images RSO (introduction to second kind statistics: applications to SAR images laws), Research Report, 2002.

J. Nicolas and F. Tupin, Gamma mixture modeled with "second kind statistics": application to SAR image processing, IEEE International Geoscience and Remote Sensing Symposium, 2002.
DOI : 10.1109/IGARSS.2002.1026587

C. Oliver and S. Quegan, Understanding Synthetic Aperture Radar images, Artech House, 1998.

M. Petrou, F. Giorgini, and P. Smits, Modelling the histograms of various classes in SAR images, Pattern Recognition Letters, vol.23, issue.9, pp.1103-1107, 2002.
DOI : 10.1016/S0167-8655(02)00057-0

R. A. Redner and H. F. Walker, Mixture Densities, Maximum Likelihood and the EM Algorithm, SIAM Review, vol.26, issue.2, pp.195-239, 1984.
DOI : 10.1137/1026034

J. A. Richards and X. Jia, Remote sensing digital image analysis, 1999.

I. Sneddon, The use of integral transforms, 1972.

C. Tison, J. Nicolas, and F. Tupin, Accuracy of Fisher distributions and log-moment estimation to describe histograms of high-resolution SAR images over urban areas, Proceedings of the IGARSS Conference, 2003.

C. Tison, J. Nicolas, F. Tupin, and H. Maitre, A new statistical model for Markovian classification of urban areas in high-resolution SAR images, IEEE Transactions on Geoscience and Remote Sensing, vol.42, issue.10, pp.2046-2057, 2004.
DOI : 10.1109/TGRS.2004.834630

URL : https://hal.archives-ouvertes.fr/hal-00556167