J. Richards and X. Jia, Remote sensing digital image analysis, 2006.

C. Oliver and S. Quegan, Understanding Synthetic Aperture Radar Images, 2004.

E. S. Kasischke, J. M. Melack, and M. C. Dobson, The use of imaging radars for ecological applications???A review, Remote Sensing of Environment, vol.59, issue.2, pp.141-156, 1997.
DOI : 10.1016/S0034-4257(96)00148-4

G. Boni, F. Castelli, L. Ferraris, N. Pierdicca, S. B. Serpico et al., High resolution COSMO/SkyMed SAR data analysis for civil protection from flooding events, 2007 IEEE International Geoscience and Remote Sensing Symposium, pp.6-9, 2007.
DOI : 10.1109/IGARSS.2007.4422716

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

G. Moser and S. B. Serpico, Unsupervised Change Detection From Multichannel SAR Data by Markovian Data Fusion, IEEE Transactions on Geoscience and Remote Sensing, vol.47, issue.7, pp.2114-2128, 2009.
DOI : 10.1109/TGRS.2009.2012407

P. R. Kersten, J. Lee, and T. L. Ainsworth, Unsupervised classification of polarimetric synthetic aperture Radar images using fuzzy clustering and EM clustering, IEEE Transactions on Geoscience and Remote Sensing, vol.43, issue.3, pp.519-527, 2005.
DOI : 10.1109/TGRS.2004.842108

K. Ersahin, I. G. Cumming, and R. Ward, Segmentation and Classification of Polarimetric SAR Data Using Spectral Graph Partitioning, IEEE Transactions on Geoscience and Remote Sensing, vol.48, issue.1, pp.164-174, 2010.
DOI : 10.1109/TGRS.2009.2024303

E. Jakeman and P. N. Pusey, A model for non-Rayleigh sea echo, IEEE Transactions on Antennas and Propagation, vol.24, issue.6, pp.806-814, 1976.
DOI : 10.1109/TAP.1976.1141451

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

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

F. Galland, J. Nicolas, H. Sportouche, M. Roche, F. Tupin et al., Unsupervised Synthetic Aperture Radar Image Segmentation Using Fisher Distributions, IEEE Transactions on Geoscience and Remote Sensing, vol.47, issue.8, pp.2966-2972, 2009.
DOI : 10.1109/TGRS.2009.2014364

URL : https://hal.archives-ouvertes.fr/hal-00437471

H. Li, W. Hong, Y. Wu, and P. Fan, On the empirical-statistical modeling of SAR images with generalized gamma distribution, IEEE J. Sel. Top. Signal Process, vol.5, issue.3, pp.386-397, 2011.

P. Mantero, G. Moser, and S. B. Serpico, Partially supervised classification of remote sensing images using SVM-based probability density estimation, IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003, pp.559-570, 2005.
DOI : 10.1109/WARSD.2003.1295212

J. Nicolas and F. Tupin, Gamma mixture modeled with "second kind statistics": application to SAR image processing, IEEE International Geoscience and Remote Sensing Symposium, pp.2489-2491, 2002.
DOI : 10.1109/IGARSS.2002.1026587

V. A. Krylov, G. Moser, S. B. Serpico, and J. Zerubia, Enhanced Dictionary-Based SAR Amplitude Distribution Estimation and Its Validation With Very High-Resolution Data, IEEE Geoscience and Remote Sensing Letters, vol.8, issue.1, pp.148-152, 2011.
DOI : 10.1109/LGRS.2010.2053517

URL : https://hal.archives-ouvertes.fr/inria-00503893

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

G. Celeux, D. Chauveau, and J. Diebolt, Stochastic versions of the em algorithm: an experimental study in the mixture case, Journal of Statistical Computation and Simulation, vol.67, issue.4, pp.287-314, 1996.
DOI : 10.1214/aos/1176346060

URL : https://hal.archives-ouvertes.fr/hal-00693519

J. Besag, Statistical analysis of dirty pictures*, Journal of Applied Statistics, vol.6, issue.5-6, pp.259-302, 1986.
DOI : 10.1016/0031-3203(83)90012-2

V. A. Krylov, G. Moser, S. B. Serpico, and J. Zerubia, Supervised High-Resolution Dual-Polarization SAR Image Classification by Finite Mixtures and Copulas, IEEE Journal of Selected Topics in Signal Processing, vol.5, issue.3, pp.554-566, 2011.
DOI : 10.1109/JSTSP.2010.2103925

URL : https://hal.archives-ouvertes.fr/inria-00562326

Y. Boykov, O. Veksler, and R. Zabih, Efficient approximate energy minimization via graph cuts, IEEE Trans. Patt. Anal. Mach. Intell, vol.20, issue.12, pp.1222-1239, 2001.
DOI : 10.1109/iccv.1999.791245

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.112.6806