K. Guilfoyle, L. Mark, C. Althouse, and . Chang, <title>Further investigations into the use of linear and nonlinear mixing models for hyperspectral image analysis</title>, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII, pp.157-167, 2002.
DOI : 10.1117/12.478747

C. M. Bachmann, T. L. Ainsworth, and R. A. Fusina, Exploiting manifold geometry in hyperspectral imagery, Geoscience and Remote Sensing, pp.441-454, 2005.
DOI : 10.1109/TGRS.2004.842292

J. Laurens, . Van-der-maaten, O. Eric, H. Postma, . Jaap-van-den et al., Dimensionality reduction: A comparative review, Journal of Machine Learning Research, vol.10, pp.1-41, 2009.

M. Fauvel, J. A. Benediktsson, J. Chanussot, 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-00178885

M. Pesaresi and J. A. Benediktsson, A new approach for the morphological segmentation of high-resolution satellite imagery Geoscience and Remote Sensing, IEEE Transactions on, vol.39, issue.2, pp.309-320, 2001.

L. Vincent, Morphological area opening and closing for grayscale images, Proc. NATO Shape in Picture Workshop, pp.197-208, 1992.

S. Velasco-forero and J. Angulo, Classification of hyperspectral images by tensor modeling and additive morphological decomposition, Pattern Recognition, vol.46, issue.2, pp.566-577, 2013.
DOI : 10.1016/j.patcog.2012.08.011
URL : https://hal.archives-ouvertes.fr/hal-00751338

S. Ilya, P. Molchanov, and . Teran, Distance transforms for realvalued functions, Journal of Mathematical Analysis and Applications, vol.278, issue.2, pp.472-484, 2003.

G. K. Ouzounis, M. Pesaresi, and P. Soille, Differential Area Profiles, 2010 20th International Conference on Pattern Recognition, pp.1533-1548, 2012.
DOI : 10.1109/ICPR.2010.993

L. Gueguen, S. Velasco-forero, and P. Soille, Local Mutual Information for Dissimilarity-Based Image Segmentation, Journal of Mathematical Imaging and Vision, vol.28, issue.2, pp.1-20
DOI : 10.1007/s10851-013-0432-9
URL : https://hal.archives-ouvertes.fr/hal-01110199