E. Aptoula and S. Lefèvre, A comparative study on multivariate mathematical morphology, Pattern Recognition, vol.40, pp.2914-2929, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00512660

J. A. Benediktsson, J. Palmason, and K. Arnason, Classification of hyperspectral data from urban areas based on extended morphological profiles, IEEE Trans. on Geosc. and Remote Sensing, vol.43, issue.3, pp.480-491, 2005.

L. Chapel, T. Burger, N. Courty, and S. Lefèvre, Classwise hyperspectral image classification with perturbo method, IGARSS, page to be published, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00706709

N. Courty, T. Burger, and J. Laurent, Perturbo: a new classification algorithm based on the spectrum perturbations of the laplace-beltrami operator, ECML-PKDD, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00599684

F. Dell'acqua, P. Gamba, A. Ferrari, J. A. Palmason, J. A. Benediktsson et al., Exploiting spectral and spatial information in hyperspectral urban data with high resolution, IEEE Geosc. and Remote Sensing Letters, vol.1, issue.4, pp.322-326, 2004.

M. Fauvel, J. A. Benediktsson, J. Chanussot, and J. R. Sveinsson, Spectral and spatial classification of hyperspectral data using svms and morphological profiles, IEEE Trans. on Geosc. and Remote Sensing, vol.46, issue.11, pp.3804-3814, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00178885

D. A. Landgrebe, Signal Theory Methods in Multispectral Remote Sensing, 2003.

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

A. Plaza, P. Martinez, J. Plaza, and R. Pérez, Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations, IEEE Trans. on Geosc. and Remote Sensing, vol.43, issue.3, pp.466-479, 2005.

P. Soille, Morphological Image Analysis : Principles and Applications, 2003.

S. Velasco-forero and J. Angulo, Supervised ordering in R n : Application to morphological processing of hyperspectral images, IEEE Trans. on Image Processing, vol.20, issue.11, pp.3301-3308, 2011.