H. Bagan, W. Takeuchi, T. Kinoshita, and Y. Bao, Land Cover Classification and Change Analysis in the Horqin Sandy Land From 1975 to 2007, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.3, issue.2, pp.168-177, 1975.
DOI : 10.1109/JSTARS.2010.2046627

D. A. Landgrebe, Signal Theory Methods in Multispectral Remote Sensing, 2003.
DOI : 10.1002/0471723800

P. K. G-o-e-l, S. O-r, R. M. , J. A. L-a-n-d-r-y, and R. B. , C l a s s i fication of hyperspectral data by decision trees and artificial neural networks to identify weed stress and nitrogen status of corn, Comput. Electron. Agricult, vol.3, issue.92, pp.67-93, 2003.

C. H. Chen and P. Ho, Statistical pattern recognition in remote sensing, Pattern Recognition, vol.41, issue.9, pp.2731-2741, 2008.
DOI : 10.1016/j.patcog.2008.04.013

J. Yang, P. Yu, and B. Kuo, A Nonparametric Feature Extraction and Its Application to Nearest Neighbor Classification for Hyperspectral Image Data, IEEE Transactions on Geoscience and Remote Sensing, vol.48, issue.3, pp.1279-1293, 2010.
DOI : 10.1109/TGRS.2009.2031812

G. Camps-valls and L. Bruzzone, Kernel-based methods for hyperspectral image classification, IEEE Transactions on Geoscience and Remote Sensing, vol.43, issue.6, pp.1351-1362, 2005.
DOI : 10.1109/TGRS.2005.846154

C. Chang and C. Lin, LIBSVM ? A Library for Support Vector Machines, 2008.

R. L. Kettig and D. A. Landgrebe, Classification of Multispectral Image Data by Extraction and Classification of Homogeneous Objects, IEEE Transactions on Geoscience Electronics, vol.14, issue.1, pp.19-26, 1976.
DOI : 10.1109/TGE.1976.294460

X. Huang and L. Zhang, A comparative study of spatial approaches for urban mapping using hyperspectral ROSIS images over Pavia City, northern Italy, International Journal of Remote Sensing, vol.44, issue.12, pp.3205-3221, 2009.
DOI : 10.1080/01431160802559046

A. Plaza, J. A. Benediktsson, J. Boardman, J. Brazile, L. Bruzzone et al., Camp s-V al ls, J.Chanu ssot

J. C. Marconcini, G. Tilton, and . Trianni, Recent advances in techniques for hyperspectral image processing, Remote Sens. Environ, vol.113, pp.110-122, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00178888

Y. Tarabalka, J. Chanussot, and J. A. Benediktsson, Segmentation and Classification of Hyperspectral Images Using Minimum Spanning Forest Grown From Automatically Selected Markers, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol.40, issue.5, pp.1267-1279, 2010.
DOI : 10.1109/TSMCB.2009.2037132

URL : https://hal.archives-ouvertes.fr/hal-00578848

G. Camps-valls, L. Gomez-chova, J. Munoz-mari, J. Vila-frances, and J. Calpe-maravilla, Composite Kernels for Hyperspectral Image Classification, IEEE Geoscience and Remote Sensing Letters, vol.3, issue.1, pp.93-97, 2006.
DOI : 10.1109/LGRS.2005.857031

M. Fauvel, J. Chanussot, J. A. Benediktsson, and J. R. Sveinsson, Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles, IEEE Transactions on Geoscience and Remote Sensing, vol.46, issue.11, pp.3804-3814, 2008.
DOI : 10.1109/TGRS.2008.922034

URL : https://hal.archives-ouvertes.fr/hal-00283769

Y. Tarabalka, J. Chanussot, and J. A. Benediktsson, Segmentation and classification of hyperspectral images using watershed transformation, Pattern Recognition, vol.43, issue.7, pp.2367-2379, 2010.
DOI : 10.1016/j.patcog.2010.01.016

URL : https://hal.archives-ouvertes.fr/hal-00578860

Y. Tarabalka, J. A. Benediktsson, J. Chanussot, and J. C. Tilton, Multiple spectral-spatial classification approach for hyperspectral data, IEEE Trans. Geosci. Remote Sens, vol.48, issue.11, pp.4122-4132, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00578869

K. Fu and J. Mui, A survey on image segmentation, Pattern Recognition, vol.13, issue.1, pp.3-16, 1981.
DOI : 10.1016/0031-3203(81)90028-5

J. Beaulieu and M. Goldberg, Hierarchy in picture segmentation: a stepwise optimization approach, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.11, issue.2, pp.150-163, 1989.
DOI : 10.1109/34.16711

J. Tilton, Image segmentation by region growing and spectral clustering with a natural convergence criterion, IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174), pp.1766-1768, 1998.
DOI : 10.1109/IGARSS.1998.703645

J. C. Tilton, RHSEG User's Manual: Including HSWO, HSEG, HSEGExtract, HSEGReader and HSEGViewer, 2010.

A. J. Plaza and J. C. Tilton, Automated selection of results in hierarchical segmentations of remotely sensed hyperspectral images, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., pp.4946-4949, 2005.
DOI : 10.1109/IGARSS.2005.1526784

P. Soille, Morphological Image Analysis,2 n de d . N e wY o r k, 2003.

O. Gómez, J. A. González, and E. F. Morales, Image Segmentation Using Automatic Seeded Region Growing and Instance-Based Learning, Proc. 12th Iberoamerican Congr, pp.192-201, 2007.
DOI : 10.1007/978-3-540-76725-1_21

G. Noyel, J. Angulo, and D. Jeulin, MORPHOLOGICAL SEGMENTATION OF HYPERSPECTRAL IMAGES, Image Analysis & Stereology, vol.26, issue.3, pp.101-109, 2007.
DOI : 10.5566/ias.v26.p101-109

URL : https://hal.archives-ouvertes.fr/hal-01220414

L. Kaufman and P. J. Rousseeuw, Finding Groups in Data. An Introduction to Cluster Analysis, 1990.

G. Licciardi, F. Pacifici, D. Tuia, S. Prasad, T. West et al., Decision Fusion for the Classification of Hyperspectral Data: Outcome of the 2008 GRS-S Data Fusion Contest, IEEE Transactions on Geoscience and Remote Sensing, vol.47, issue.11, pp.3857-3865, 2008.
DOI : 10.1109/TGRS.2009.2029340

URL : https://hal.archives-ouvertes.fr/hal-00449440

V. Vapnik, Statistical Learning Theory, 1998.

L. Shapiro and G. Stockman, Computer Vision, 2002.

T. Wu, C. Lin, and R. C. Weng, Probability estimates for multiclass classification by pairwise coupling, J. Machine Learning Res, issue.5, pp.975-1005, 2004.

J. Stawiaski, Mathematical morphology and graphs: Application to interactive medical image segmentation, 2008.
URL : https://hal.archives-ouvertes.fr/pastel-00004807

R. C. Prim, Shortest Connection Networks And Some Generalizations, Bell System Technical Journal, vol.36, issue.6, pp.1389-1401, 1957.
DOI : 10.1002/j.1538-7305.1957.tb01515.x

J. A. Richards and X. Jia, Remote Sensing Digital Image Analysis: An Introduction, 1999.

S. Valero, P. Salembier, and J. Chanussot, Comparison of merging orders and pruning strategies for Binary Partition Tree in hyperspectral data, 2010 IEEE International Conference on Image Processing, pp.1-4, 2010.
DOI : 10.1109/ICIP.2010.5652595

URL : https://hal.archives-ouvertes.fr/hal-00578963

S. Tadjudin and D. A. Landgrebe, Covariance estimation with limited training samples, IEEE Trans. Geosci. Remote Sens, vol.7, issue.4, pp.2113-2118, 1999.
DOI : 10.1109/36.774728

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.81.906

Y. Tarabalka, J. A. Benediktsson, and J. Chanussot, Spectral–Spatial Classification of Hyperspectral Imagery Based on Partitional Clustering Techniques, IEEE Transactions on Geoscience and Remote Sensing, vol.47, issue.8, pp.2973-2987, 2009.
DOI : 10.1109/TGRS.2009.2016214

Y. Tarabalka, 10) received the B.S. degree in computer science from Ternopil Ivan Pul'uj State Technical University, 2005, the M.Sc. degree in signal and image processing from the Grenoble Institute of Technology (INPG)