W. M. Boerner, Basic Concepts of Radar Polarimetry and its Applications to Target Discrimination, Classification, Imaging, and Identification Univ. of Illinois, Commun. Lab, 1982.

J. Goodman, Some fundamental properties of speckle*, Journal of the Optical Society of America, vol.66, issue.11, pp.1145-1149, 1976.
DOI : 10.1364/JOSA.66.001145

M. S. Greco and F. Gini, Statistical Analysis of High-Resolution SAR Ground Clutter Data, IEEE Transactions on Geoscience and Remote Sensing, vol.45, issue.3, pp.566-575, 2007.
DOI : 10.1109/TGRS.2006.888141

K. J. Sangston and K. Gerlach, Coherent detection of radar targets in a non-gaussian background, IEEE Transactions on Aerospace and Electronic Systems, vol.30, issue.2, pp.330-340, 1994.
DOI : 10.1109/7.272258

K. Yao, A representation theorem and its applications to sphericallyinvariant random processes, IEEE Trans. Inf. Theory, vol.19, issue.5, pp.600-608, 1973.

S. H. Yueh, J. A. Kong, J. K. Jao, R. T. Shin, and L. M. Novak, K-Distribution and Polarimetric Terrain Radar Clutter, Journal of Electromagnetic Waves and Applications, vol.25, issue.2, pp.747-768, 1989.
DOI : 10.1163/156939389X00412

V. Anastassopoulos, G. A. Lampropoulos, A. Drosopoulos, and M. Rey, High resolution radar clutter statistics, IEEE Transactions on Aerospace and Electronic Systems, vol.35, issue.1, pp.43-60, 1999.
DOI : 10.1109/7.745679

E. Conte, A. De-maio, and C. Galdi, Statistical analysis of real clutter at different range resolutions, IEEE Transactions on Aerospace and Electronic Systems, vol.40, issue.3, pp.903-918, 2004.
DOI : 10.1109/TAES.2004.1337463

A. Fusco, C. Galdi, G. Ricci, and M. Tesauro, Fitting a statistical model to SIR-C SAR images of the sea surface, IEEE Transactions on Aerospace and Electronic Systems, vol.40, issue.4, pp.1179-1190, 2004.
DOI : 10.1109/TAES.2004.1386873

M. Rangaswamy, Statistical analysis of the nonhomogeneity detector for non-Gaussian interference backgrounds, IEEE Transactions on Signal Processing, vol.53, issue.6, pp.2101-2111, 2005.
DOI : 10.1109/TSP.2005.847843

J. A. Kong, A. A. Swartz, and H. A. Yueh, Identification of terrain cover using the optimal terrain classifier, J. Electronmagn. Waves Applicat, vol.2, pp.171-194, 1988.

H. A. Yueh, A. A. Swartz, J. A. Kong, R. T. Shin, and L. M. Novak, Optimal classification of terrain cover using normalized polarimetric data, J. Geophys. Res, pp.15-261, 1993.

J. J. Van-zyl and C. F. Burnette, Bayesian classification of polarimetric SAR images using adaptive a priori probabilities, International Journal of Remote Sensing, vol.2, issue.5, pp.835-840, 1992.
DOI : 10.1029/JB092iB01p00683

J. Lee, M. R. Grunes, and R. Kwok, Classification of multi-look polarimetric SAR imagery based on complex Wishart distribution, International Journal of Remote Sensing, vol.2, issue.11
DOI : 10.1109/36.20273

W. L. Cameron, N. Youssef, and L. K. Leung, Simulated polarimetric signatures of primitive geometrical shapes, IEEE Transactions on Geoscience and Remote Sensing, vol.34, issue.3, pp.793-803, 1996.
DOI : 10.1109/36.499784

E. Krogager, New decomposition of the radar target scattering matrix, Electronics Letters, vol.26, issue.18, pp.1525-1527, 1990.
DOI : 10.1049/el:19900979

A. Freeman and S. Durden, Three-component scattering model to describe polarimetric SAR data, Radar Polarimetry, pp.213-225, 1992.
DOI : 10.1117/12.140618

S. R. Cloude and E. Pottier, An entropy based classification scheme for land applications of polarimetric SAR, IEEE Transactions on Geoscience and Remote Sensing, vol.35, issue.1, pp.68-78, 1997.
DOI : 10.1109/36.551935

J. Lee, M. R. Grunes, T. L. Ainsworth, L. Du, D. L. Schuler et al., Unsupervised classification using polarimetric decomposition and complex Wishart classifier, IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174), pp.2249-2258, 1999.
DOI : 10.1109/IGARSS.1998.703778

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

T. W. Anderson, An Introduction to Multivariate Statistical Analysis, 1984.

M. Abramowitz and I. Stegun, Handbook of Mathematical Functions, American Journal of Physics, vol.34, issue.2, 1964.
DOI : 10.1119/1.1972842

M. Rangaswamy, D. D. Weiner, and A. Ozturk, Computer generation of correlated non-Gaussian radar clutter, IEEE Transactions on Aerospace and Electronic Systems, vol.31, issue.1, pp.106-116, 1995.
DOI : 10.1109/7.366297

J. B. Billingsley, Ground Clutter Measurements for Surface-Sited Radar Mass, Inst. Technol, 1993.

F. Gini and M. 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

E. Conte, A. De-maio, and G. Ricci, Recursive estimation of the covariance matrix of a compound-Gaussian process and its application to adaptive CFAR detection, IEEE Transactions on Signal Processing, vol.50, issue.8, pp.1908-1915, 2002.
DOI : 10.1109/TSP.2002.800412

F. Pascal, Y. Chitour, J. Ovarlez, P. Forster, and P. Larzabal, Covariance Structure Maximum-Likelihood Estimates in Compound Gaussian Noise: Existence and Algorithm Analysis, IEEE Transactions on Signal Processing, vol.56, issue.1
DOI : 10.1109/TSP.2007.901652

M. S. Bartlett, Properties of sufficiency and statistical tests, Proc. R. Soc. London, pp.268-282, 1937.

G. Box, A GENERAL DISTRIBUTION THEORY FOR A CLASS OF LIKELIHOOD CRITERIA, Biometrika, vol.36, issue.3-4, pp.317-346, 1949.
DOI : 10.1093/biomet/36.3-4.317

G. Box, Problems in the Analysis of Growth and Wear Curves, Biometrics, vol.6, issue.4, pp.362-389, 1950.
DOI : 10.2307/3001781

F. Pascal, J. Ovarlez, P. Forster, and P. Larzabal, Performance Analysis of Covariance Matrix Estimates in Impulsive Noise, IEEE Transactions on Signal Processing, vol.56, issue.6, pp.2206-2216, 2008.
DOI : 10.1109/TSP.2007.914311
URL : https://hal.archives-ouvertes.fr/hal-00353591

K. Conradsen, A. A. Nielsen, J. Schou, and H. Skriver, A test statistic in the complex wishart distribution and its application to change detection in polarimetric SAR data, IEEE Transactions on Geoscience and Remote Sensing, vol.41, issue.1, pp.4-19, 2003.
DOI : 10.1109/TGRS.2002.808066

P. Formont, F. Pascal, G. Vasile, J. Ovarlez, and L. Ferro, Statistical Classification for Heterogeneous Polarimetric SAR Images, IEEE Journal of Selected Topics in Signal Processing, vol.5, issue.3, pp.567-576, 2011.
DOI : 10.1109/JSTSP.2010.2101579
URL : https://hal.archives-ouvertes.fr/hal-00638829

G. Vasile, F. Pascal, J. Ovarlez, P. Formont, and M. Gay, Optimal Parameter Estimation in Heterogeneous Clutter for High-Resolution Polarimetric SAR Data, IEEE Geoscience and Remote Sensing Letters, vol.8, issue.6, pp.1046-1050, 2011.
DOI : 10.1109/LGRS.2011.2152363
URL : https://hal.archives-ouvertes.fr/hal-00544150

P. Formont, M. A. Veganzones, J. M. Frontera-pons, F. Pascal, J. Ovarlez et al., CFAR hierarchical clustering of polarimetric SAR data, 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
DOI : 10.1109/IGARSS.2013.6723319
URL : https://hal.archives-ouvertes.fr/hal-01010367

P. Formont, J. Ovarlez, F. Pascal, G. Vasile, and L. Ferro, Information Geometry for Classification of High Resolution Polarimetric SAR Images, IEEE 2012 International Geoscience and Remote Sensing Symposium (IGARSS), pp.22-27

J. Ovarlez, P. Formont, F. Pascal, G. Vasile, and L. Ferro, Contribution of information geometry for polarimetric SAR classification in heterogeneous areas, Proceedings of the 2011 International Radar Symposium, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00640864

P. Formont, J. Ovarlez, F. Pascal, G. Vasile, and L. Ferro, On the extension of the product model in POLSAR processing for unsupervised classification using information geometry of covariance matrices, 2011 IEEE International Geoscience and Remote Sensing Symposium, pp.24-29
DOI : 10.1109/IGARSS.2011.6049318
URL : https://hal.archives-ouvertes.fr/hal-00640872

P. Formont, J. Ovarlez, F. Pascal, G. Vasile, and L. Ferro, H/? Unsupervised Classification for Highly Textured Polinsar Images using Information Geometry of Covariance Matrices, PolInSAR Workshop, pp.24-28, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00640761

P. Formont, N. Trouvé, J. Ovarlez, F. Pascal, G. Vasile et al., PolSAR Classification Based on the SIRV Model with a Region Growing Initialization, PolInSAR Workshop, pp.24-28, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00640862

P. Formont, J. Ovarlez, F. Pascal, G. Vasile, and L. Ferro, A test statistic for high resolution polarimetric SAR data classification, 2010 IEEE International Geoscience and Remote Sensing Symposium, p.25, 2010.
DOI : 10.1109/IGARSS.2010.5651074
URL : https://hal.archives-ouvertes.fr/hal-00507077

P. Formont, J. Ovarlez, F. Pascal, G. Vasile, and L. Ferro, A New Method for High Resolution Polarimetric SAR Data Classification Based on the M-Box Test, 8th European Conference on Synthetic Aperture Radar (EUSAR), pp.7-10
URL : https://hal.archives-ouvertes.fr/hal-00555869

P. Formont, M. A. Veganzones, J. M. Frontera-pons, F. Pascal, J. Ovarlez et al., CFAR hierarchical clustering of polarimetric SAR data, 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS, pp.10-14
DOI : 10.1109/IGARSS.2013.6723319
URL : https://hal.archives-ouvertes.fr/hal-01010367

P. Formont, J. Ovarlez, F. Pascal, G. Vasile, and L. Ferro, Polarimetric Classification in Highly Textured SAR Images
URL : https://hal.archives-ouvertes.fr/hal-00556549

P. Formont, F. Pascal, J. Ovarlez, G. Vasile, and L. Ferro, Apport de la Géométrie de l'Information pour la Classification d'Images SAR Polarimétriques, 2011.

P. Formont, J. Ovarlez, and F. Pascal, On the Use of Matrix Information Geometry for Polarimetric SAR Image Classification, Matrix Information Geometry, pp.257-276, 2013.
DOI : 10.1007/978-3-642-30232-9_10

M. Abramowitz, Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables, 1974.

D. Arthur and S. Vassilvitskii, k-means++ : the advantages of careful seeding, Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms, pp.1027-1035, 2007.

C. Atkinson and A. F. Mitchell, Rao's distance measure Sankhy¯ a : The Indian Journal of Statistics, Series A, pp.345-365, 1981.

R. Azzam and N. Bashara, Ellipsometry and Polarized Light, 1977.

F. Barbaresco, Innovative tools for radar signal processing based on cartan's geometry of spd matrices and information geometry, IEEE International Radar Conference, 2008.

M. S. Bartlett, Properties of Sufficiency and Statistical Tests, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.160, issue.901, pp.268-282, 1937.
DOI : 10.1098/rspa.1937.0109

J. Beaulieu and R. Touzi, Segmentation of textured polarimetric SAR scenes by likelihood approximation, IEEE Transactions on Geoscience and Remote Sensing, vol.42, issue.10, pp.2063-2072
DOI : 10.1109/TGRS.2004.835302

P. Beckmann, The Depolarization of Electromagnetic Waves, American Journal of Physics, vol.40, issue.10, 1968.
DOI : 10.1119/1.1986903

J. B. Billingsley, Ground clutter measurements for surface-sited radar, MIT, Tech. Rep, vol.780, 1993.

H. Bischof and A. Leonardis, Finding optimal neural networks for land use classification Geoscience and Remote Sensing, IEEE Transactions on, vol.36, issue.1, pp.337-341, 1998.

L. Bombrun and J. Beaulieu, Fisher distribution for texture modeling of polarimetric sar data Geoscience and Remote Sensing Letters, IEEE, vol.5, issue.3, pp.512-516, 2008.

G. Box, A general distribution theory for a class of likelihood criteria, Biometrika, vol.36, pp.45-46, 1949.

J. Burbea, Informative geometry of probability spaces, DTIC Document, Tech. Rep, 1984.

H. Caillol, A. Hillion, and W. Pieczynski, Fuzzy random fields and unsupervised image segmentation, IEEE Transactions on Geoscience and Remote Sensing, vol.31, issue.4, pp.801-810, 1993.
DOI : 10.1109/36.239902

G. Camps-valls, T. B. Marsheva, and D. Zhou, Semi-supervised graph-based hyperspectral image classification Geoscience and Remote Sensing, IEEE Transactions on, vol.45, issue.10, pp.3044-3054, 2007.

G. Camps-valls, L. Gómez-chova, J. Calpe-maravilla, J. D. Martín-guerrero, E. Soria-olivas et al., Robust support vector method for hyperspectral data classification and knowledge discovery, IEEE Transactions on Geoscience and Remote Sensing, vol.42, issue.7, pp.1530-1542, 2004.
DOI : 10.1109/TGRS.2004.827262

N. Charon and F. Barbaresco, Une nouvelle approche pour la détection de cibles dans les images radar basée sur des distances et moyennes dans des espaces de matrices de covariance, TS. Traitement du signal, vol.26, issue.4, pp.269-278, 2009.

D. L. Civco, Artificial neural networks for land-cover classification and mapping, International journal of geographical information systems, vol.57, issue.2, pp.173-186, 1993.
DOI : 10.1080/02693799108927845

S. Cloude, Polarimetry : The characterization of polarimetric effects in em scattering, 1986.

E. Conte, M. Lops, and G. Ricci, Asymptotically optimum radar detection in compound-gaussian clutter Aerospace and Electronic Systems, IEEE Transactions on, vol.31, issue.2, pp.617-625, 1995.

J. C. Curlander and R. N. Mcdonough, Synthetic aperture radar : systems and signal processing, 1991.

V. Devlaminck and P. Terrier, Geodesic distance on non-singular coherency matrix space in polarization optics, Journal of the Optical Society of America A, vol.27, issue.8, 2010.
DOI : 10.1364/JOSAA.27.001756
URL : https://hal.archives-ouvertes.fr/hal-00648826

K. Ersahin, I. 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
DOI : 10.1109/TGRS.2009.2024303

C. Fang, H. Wen, W. Yirong, and E. Pottier, Analysis of fully polarimetric sar data based on the cloudepottier decomposition and the complex wishart classifier, Geoscience and Remote Sensing Symposium, pp.168-171, 2007.

A. Farina, A. Russo, and F. Studer, Advanced models of targets, disturbances and related radar signal processors, Proceedings of IEEE international radar conference, pp.151-158, 1985.
DOI : 10.1049/PBRA001E_ch9

]. A. Freeman and S. Durden, Three-component scattering model to describe polarimetric SAR data, Radar Polarimetry, pp.213-225, 1992.
DOI : 10.1117/12.140618

F. Gini and M. 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

J. Goldman, Detection in the presence of spherically symmetric random vectors Information Theory, IEEE Transactions on, vol.22, issue.1, pp.52-59, 1976.

J. W. Goodman, Some fundamental properties of speckle*, Journal of the Optical Society of America, vol.66, issue.11, pp.1145-1150, 1976.
DOI : 10.1364/JOSA.66.001145

M. S. Greco and F. Gini, Statistical Analysis of High-Resolution SAR Ground Clutter Data, IEEE Transactions on Geoscience and Remote Sensing, vol.45, issue.3, pp.566-575
DOI : 10.1109/TGRS.2006.888141

J. Gualtieri, S. Chettri, R. Cromp, and L. Johnson, Support vector machine classifiers as applied to aviris data, Proc. Eighth JPL Airborne Geoscience Workshop. Citeseer, 1999.

F. Hampel, E. Ronchetti, P. Rousseeuw, and W. Stahel, Robust Statistics : The Approach Based on Influence Functions, ser, 2011.
DOI : 10.1002/9781118186435

C. Huang, L. Davis, and J. Townshend, An assessment of support vector machines for land cover classification, International Journal of Remote Sensing, vol.20, issue.4, pp.725-749, 2002.
DOI : 10.1080/01431169408954326

T. Ince, Unsupervised classification of polarimetric sar image with dynamic clustering : An image processing approach Advances in Engineering Software, pp.636-646, 2010.

E. Jakeman, On the statistics of K-distributed noise, Journal of Physics A: Mathematical and General, vol.13, issue.1, p.31, 1980.
DOI : 10.1088/0305-4470/13/1/006

K. Kimura, Y. Yamaguchi, and H. Yamada, Pi-SAR image analysis using polarimetric scattering parameters and total power, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), pp.425-427, 2003.
DOI : 10.1109/IGARSS.2003.1293797

J. A. Kong, A. A. Swartz, and H. A. Yueh, Identification of terrain cover using the optimal terrain classifier, Journal of Electromagnetic Waves and Applications, vol.2, pp.171-194, 1988.

A. Kostinski and W. Boerner, On foundations of radar polarimetry, IEEE Transactions on Antennas and Propagation, vol.34, issue.12, pp.1395-1404, 1986.
DOI : 10.1109/TAP.1986.1143771

E. Krogager, New decomposition of the radar target scattering matrix, Electronics Letters, vol.26, issue.18, pp.1525-1527, 1990.
DOI : 10.1049/el:19900979

J. Lee, Refined filtering of image noise using local statistics, Computer Graphics and Image Processing, pp.380-389, 1981.
DOI : 10.1016/S0146-664X(81)80018-4

J. Lee, M. Grunes, E. Pottier, and L. Ferro, Unsupervised terrain classification preserving polarimetric scattering characteristics, IEEE Transactions on Geoscience and Remote Sensing, vol.42, issue.4, pp.722-731, 2004.

J. Lee and E. Pottier, Polarimetric Radar Imaging, From Basics to Applications, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00351911

P. C. Mahalanobis, On the generalized distance in statistics, Proceedings of the National Institute of Sciences of India, pp.49-55, 1936.

M. Moakher, A Differential Geometric Approach to the Geometric Mean of Symmetric Positive-Definite Matrices, SIAM Journal on Matrix Analysis and Applications, vol.26, issue.3, pp.735-747, 2005.
DOI : 10.1137/S0895479803436937

H. Mott, Antennas for Radar and Communications, 1992.

J. Neyman and E. S. Pearson, On the problem of the most efficient tests of statistical hypotheses Philosophical Transactions of the Royal Society of London. Series A, Containing Papers of a, Mathematical or Physical Character, vol.231231289, pp.694-706, 1933.

L. M. Novak and M. C. , Optimal speckle reduction in polarimetric sar imagery Aerospace and Electronic Systems, IEEE Transactions on, vol.26, issue.2, pp.293-305, 1990.

A. Papoulis and S. U. Pillai, Probability, random variables and stochastic processes with errata sheet, 2002.

W. J. Plant and W. C. Keller, Evidence of Bragg scattering in microwave Doppler spectra of sea return, Journal of Geophysical Research, vol.14, issue.C9, pp.16-299, 1978.
DOI : 10.1029/JC095iC09p16299

E. Pottier and J. Lee, Unsupervised classification scheme of polsar images based on the complex wishart distribution and the h/?/a polarimetric decomposition theorem, Proceedings of EUSAR 2000, 2000.

A. C. Rencher, Methods of Multivariate Analysis, 2002.

H. Schey, . Div, and . Grad, And All That : An Informal Text On Vector Calculus, WW Norton & Company, 2005.

G. G. Stokes, On the Composition and Resolution of Streams of Polarized Light from different Sources, Transactions of the Cambridge Philosophical Society, vol.9, pp.399-1851
DOI : 10.1017/CBO9780511702266.010

J. Stratton and E. Theory, Comparaison des outils optique et radar en polarimétrie bistatique, Cité en pages 8 et 9.) [70] N. Trouvé Thèse de doctorat, 1941.

G. Trunk and S. George, Detection of targets in non-gaussian sea clutter Aerospace and Electronic Systems, IEEE Transactions, issue.5, pp.620-628, 1970.

F. T. Ulaby, F. Kouyate, B. Brisco, and T. L. Williams, Textural information in sar images Geoscience and Remote Sensing, IEEE Transactions, issue.2, pp.235-245, 1986.

F. Ulaby, T. Haddock, and R. Austin, Fluctuation statistics of millimeter-wave scattering from distributed targets Geoscience and Remote Sensing, IEEE Transactions on, vol.26, issue.3, pp.268-281, 1988.

J. J. Van-zyl and B. C. , Bayesian classification of polarimetric SAR images using adaptive a priori probabilities, International Journal of Remote Sensing, vol.2, issue.5, pp.835-840, 1992.
DOI : 10.1029/JB092iB01p00683

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.2011-2038
DOI : 10.1109/TGRS.2009.2035496
URL : https://hal.archives-ouvertes.fr/hal-00466647

K. Ward, Compound representation of high resolution sea clutter, Electronics Letters, vol.17, issue.16, pp.561-563, 1981.
DOI : 10.1049/el:19810394

S. Watts, Radar detection prediction in sea clutter using the compound K-distribution model, IEE Proceedings F (Communications, Radar and Signal Processing), pp.613-620, 1985.
DOI : 10.1049/ip-f-1.1985.0115

T. Yamazaki and D. Gingras, Unsupervised multispectral image classification using mrf models and vq method Geoscience and Remote Sensing, IEEE Transactions on, vol.37, issue.2, pp.1173-1176, 1999.

H. Yang, A back-propagation neural network for mineralogical mapping from AVIRIS data, International Journal of Remote Sensing, vol.20, issue.1, pp.97-110, 1999.
DOI : 10.1080/014311699213622

K. Yao, A representation theorem and its applications to spherically-invariant random processes, IEEE Transactions on Information Theory, vol.19, issue.5, pp.600-608, 1973.

H. A. Yueh, A. A. Swartz, J. A. Kong, R. T. Shin, and L. M. Novak, Optimal classification of terrain cover using normalized polarimetric data, Journal of Geophysical Resources, pp.15-261, 1993.

Y. Zhong, L. Zhang, B. Huang, and P. Li, An unsupervised artificial immune classifier for multi/hyperspectral remote sensing imagery Geoscience and Remote Sensing, IEEE Transactions on, vol.44, issue.2, pp.420-431, 2006.