D. L. Donoho, De-noising by soft-thresholding, IEEE Transactions on Information Theory, vol.41, issue.3, pp.613-627, 1995.
DOI : 10.1109/18.382009
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.161.9704

J. Aujol, G. Aubert, and L. Blanc-feraud, Wavelet-based level set evolution for classification of textured images, IEEE Transactions on Image Processing, vol.12, issue.12, pp.1634-1641, 2003.
DOI : 10.1109/TIP.2003.819309
URL : https://hal.archives-ouvertes.fr/hal-00202004

M. N. Do and M. Vetterli, Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance, IEEE Transactions on Image Processing, vol.11, issue.2, pp.146-158, 2002.
DOI : 10.1109/83.982822
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1.2426

L. Bombrun, Y. Berthoumieu, N. Lasmar, and G. Verdoolaege, Mutlivariate texture retrieval using the geodesic distance between elliptically distributed random variables, IEEE International Conference on Image Processing, pp.3637-3640, 2011.

G. Verdoolaege and P. Scheunders, On the Geometry of Multivariate Generalized Gaussian Models, Journal of Mathematical Imaging and Vision, vol.16, issue.2, pp.180-193, 2012.
DOI : 10.1007/s10851-011-0297-8

R. Kwitt and A. Uhl, Lightweight Probabilistic Texture Retrieval, IEEE Transactions on Image Processing, vol.19, issue.1, pp.241-253, 2010.
DOI : 10.1109/TIP.2009.2032313

Y. Stitou, N. Lasmar, and Y. Berthoumieu, Copulas based multivariate gamma modeling for texture classification, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.1045-1048, 2009.
DOI : 10.1109/ICASSP.2009.4959766
URL : https://hal.archives-ouvertes.fr/hal-00399615

S. Kullback and R. A. Leibler, On Information and Sufficiency, The Annals of Mathematical Statistics, vol.22, issue.1, pp.79-86, 1951.
DOI : 10.1214/aoms/1177729694

H. Jeffreys, An Invariant Form for the Prior Probability in Estimation Problems, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.186, issue.1007, pp.453-461, 1946.
DOI : 10.1098/rspa.1946.0056

M. Kupperman, Further applications of information theory to multivariate analysis and statistical inference, 1957.

M. Salicru, D. Morales, M. L. Menendez, and L. Pardo, On the Applications of Divergence Type Measures in Testing Statistical Hypotheses, Journal of Multivariate Analysis, vol.51, issue.2, pp.372-391, 1994.
DOI : 10.1006/jmva.1994.1068

A. D. Nascimento, R. J. Cintra, and A. C. Frery, Hypothesis Testing in Speckled Data With Stochastic Distances, IEEE Transactions on Geoscience and Remote Sensing, vol.48, issue.1, pp.373-385, 1964.
DOI : 10.1109/TGRS.2009.2025498

D. E. Tyler, A Distribution-Free $M$-Estimator of Multivariate Scatter, The Annals of Statistics, vol.15, issue.1, pp.234-251, 1987.
DOI : 10.1214/aos/1176350263

F. Gini and M. V. Greco, Covariance matrix estimation for CFAR detection in correlated heavy tailed clutter, Signal Processing, vol.82, issue.12, pp.1847-1859, 2002.
DOI : 10.1016/S0165-1684(02)00315-8

F. Pascal, P. Forster, J. Ovarlez, and P. Larzabal, Performance Analysis of Covariance Matrix Estimates in Impulsive Noise, IEEE Transactions on Signal Processing, vol.56, issue.6, pp.2206-2217, 2008.
DOI : 10.1109/TSP.2007.914311
URL : https://hal.archives-ouvertes.fr/hal-00353591

G. Vasile, J. Ovarlez, F. Pascal, and C. Tison, Coherency Matrix Estimation of Heterogeneous Clutter in High-Resolution Polarimetric SAR Images, IEEE Transactions on Geoscience and Remote Sensing, vol.48, issue.4, pp.1809-1826, 2010.
DOI : 10.1109/TGRS.2009.2035496
URL : https://hal.archives-ouvertes.fr/hal-00466647

E. Ollila and V. Koivunen, Robust antenna array processing using M-estimators of pseudo-covariance, 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003., pp.2659-2663, 2003.
DOI : 10.1109/PIMRC.2003.1259213

R. De-luis-garcía, C. Westin, and C. Alberola-lópez, Gaussian mixtures on tensor fields for segmentation: Applications to medical imaging, Computerized Medical Imaging and Graphics, vol.35, issue.1, pp.16-30, 2011.
DOI : 10.1016/j.compmedimag.2010.09.001

I. Ilea, L. Bombrun, G. Germain, I. Champion, R. Terebes et al., Statistical hypothesis test for maritime pine forest SAR images classification based on the geodesic distance, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015.
DOI : 10.1109/IGARSS.2015.7326502
URL : https://hal.archives-ouvertes.fr/hal-01188075

M. L. Williams, PolSARproSim: A Coherent, Polarimetric SAR Simulation of Forests for PolSARPro. Design Document ans Algorithm Specification, 2006.