L. Jimenez and D. Landgrebe, Supervised classification in high-dimensional space: geometrical, statistical, and asymptotical properties of multivariate data, IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol.28, issue.1, pp.39-54, 1998.
DOI : 10.1109/5326.661089

H. Grassmann, On the theory of compound colors, pp.254-64, 1854.

G. Poldera and G. W. Van-der-heijden, Visualization of spectral images, Visualization and Optimization Techniques, p.133, 2001.
DOI : 10.1117/12.441578

J. S. Tyo, A. Konsolakis, D. I. Diersen, and R. C. Olsen, Principal-components-based display strategy for spectral imagery, IEEE Transactions on Geoscience and Remote Sensing, vol.41, issue.3, pp.708-718, 2003.
DOI : 10.1109/TGRS.2003.808879
URL : http://hdl.handle.net/10945/36752

V. Tsagaris and V. Anastassopoulos, Multispectral image fusion for improved RGB representation based on perceptual attributes, International Journal of Remote Sensing, vol.8, issue.15, pp.3241-3254, 2005.
DOI : 10.1016/S0165-1684(00)00273-5

J. Durand and Y. Kerr, An improved decorrelation method for the efficient display of multispectral data, IEEE Transactions on Geoscience and Remote Sensing, vol.27, issue.5, pp.611-619, 1989.
DOI : 10.1109/TGRS.1989.35944

P. Scheunders, Multispectral image fusion using local mapping techniques, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, pp.311-314, 2000.
DOI : 10.1109/ICPR.2000.906075
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.27.7354

C. Yang, L. Lu, H. Lin, R. Guan, X. Shi et al., A Fuzzy-Statistics-Based Principal Component Analysis (FS-PCA) Method for Multispectral Image Enhancement and Display, IEEE Transactions on Geoscience and Remote Sensing, vol.46, issue.11, pp.3937-3947, 2008.
DOI : 10.1109/TGRS.2008.2001386

X. Jia and J. Richards, Segmented principal components transformation for efficient hyperspectral remote-sensing image display and classification, IEEE Trans. on Geoscience and Remote Sensing, vol.37, issue.1, pp.538-542, 1999.

V. Tsagaris, V. Anastassopoulos, and G. Lampropoulos, Fusion of hyperspectral data using segmented PCT for color representation and classification, IEEE Transactions on Geoscience and Remote Sensing, vol.43, issue.10, pp.2365-2375, 2005.
DOI : 10.1109/TGRS.2005.856104

Q. Du, N. Raksuntorn, S. Cai, and R. J. Moorhead, Color Display for Hyperspectral Imagery, IEEE Transactions on Geoscience and Remote Sensing, vol.46, issue.6, pp.1858-1866, 2008.
DOI : 10.1109/TGRS.2008.916203

Y. Zhu, P. K. Varshney, and H. Chen, Evaluation of ica based fusion of hyperspectral images for color display, " in Information Fusion, 10th International Conference on, pp.1-7, 2007.

H. Zhang, D. W. Messinger, and E. D. Montag, Perceptual display strategies of hyperspectral imagery based on PCA and ICA, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, 2006.
DOI : 10.1117/12.665696

N. P. Jacobson and M. R. Gupta, Design goals and solutions for display of hyperspectral images, IEEE Transactions on Geoscience and Remote Sensing, vol.43, issue.11, pp.2684-2692, 2005.
DOI : 10.1109/TGRS.2005.857623

N. P. Jacobson, M. R. Gupta, and J. B. Cole, Linear Fusion of Image Sets for Display, IEEE Transactions on Geoscience and Remote Sensing, vol.45, issue.10, pp.3277-3288, 2007.
DOI : 10.1109/TGRS.2007.903598

M. Cui, A. Razdan, J. Hu, and P. Wonka, Interactive hyperspectral image visualization using convex optimization, IEEE Trans. on Geoscience and Remote Sensing, vol.47, issue.6, p.1673, 2009.

S. , L. Moan, A. Mansouri, J. Y. Hardeberg, and Y. Voisin, A classseparability-based method for multi/hyperspectral image color visualization, IEEE International Conference on Image Processing, 2010.

P. Bajcsy and P. Groves, Methodology for hyperspectral band selection Photogrammetric engineering and remote sensing, pp.793-802, 2004.

C. I. Chang and S. Wang, Constrained band selection for hyperspectral imagery, IEEE Transactions on Geoscience and Remote Sensing, vol.44, issue.6, pp.1575-1585, 2006.
DOI : 10.1109/TGRS.2006.864389

C. I. Chang, Q. Du, T. L. Sun, and M. L. Althouse, A joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification, IEEE Transactions on Geoscience and Remote Sensing, vol.37, issue.6, pp.2631-2641, 1999.
DOI : 10.1109/36.803411

Q. Du and H. Yang, Similarity-Based Unsupervised Band Selection for Hyperspectral Image Analysis, IEEE Geoscience and Remote Sensing Letters, vol.5, issue.4, pp.564-568, 2008.
DOI : 10.1109/LGRS.2008.2000619

B. Demir, A. Celebi, and S. Erturk, A Low-Complexity Approach for the Color Display of Hyperspectral Remote-Sensing Images Using One-Bit-Transform-Based Band Selection, IEEE Transactions on Geoscience and Remote Sensing, vol.47, issue.1, pp.97-105, 2009.
DOI : 10.1109/TGRS.2008.2001553

C. E. Shannon and W. Weaver, A Mathematical Theory of Communication, Bell System Technical Journal, vol.27, issue.3, pp.379-423, 1948.
DOI : 10.1002/j.1538-7305.1948.tb01338.x

C. Conese and F. Maselli, Selection of optimum bands from TM scenes through mutual information analysis, ISPRS Journal of Photogrammetry and Remote Sensing, vol.48, issue.3, pp.2-11, 1993.
DOI : 10.1016/0924-2716(93)90059-V

G. Qu, D. Zhang, and P. Yan, Information measure for performance of image fusion, Electronics Letters, vol.38, issue.7, p.313, 2002.
DOI : 10.1049/el:20020212

V. Tsagaris and V. Anastassopoulos, Information measure for assessing pixel-level fusion methods, Image and Signal Processing for Remote Sensing X, 2004.
DOI : 10.1117/12.565597

B. Guo, S. R. Damper, J. Gunn, and . Nelson, A fast separabilitybased feature-selection method for high-dimensional remotely sensed image classification, Pattern Recognition, vol.41, issue.5, pp.1670-1679, 2008.

A. Martinez-uso, F. Pla, J. M. Sotoca, and P. Garcia-sevilla, Clustering-Based Hyperspectral Band Selection Using Information Measures, IEEE Transactions on Geoscience and Remote Sensing, vol.45, issue.12, pp.4158-4171, 2007.
DOI : 10.1109/TGRS.2007.904951

L. I. Smith, A tutorial on principal components analysis, p.52, 2002.

A. Hyvärinen and E. Oja, Independent component analysis: algorithms and applications, Neural Networks, vol.13, issue.4-5, pp.411-430, 2000.
DOI : 10.1016/S0893-6080(00)00026-5

S. , L. Moan, A. Mansouri, Y. Voisin, and J. Hardeberg, Saliency in spectral images, to be published in the proceedings of the 17th Scandinavian Conference on Image Analysis, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00637924

S. M. Nascimento, F. P. Ferreira, and D. H. Foster, Statistics of spatial cone-excitation ratios in natural scenes, Journal of the Optical Society of America A, vol.19, issue.8, pp.1484-1490, 2002.
DOI : 10.1364/JOSAA.19.001484