A. Treisman and G. Gelade, A feature-integration theory of attention, Cognitive Psychology, vol.12, issue.1, pp.97-136, 1980.
DOI : 10.1016/0010-0285(80)90005-5

C. Koch and S. Ullman, Shifts in Selective Visual Attention: Towards the Underlying Neural Circuitry, Hum Neurobiol, vol.4, pp.219-246, 1985.
DOI : 10.1007/978-94-009-3833-5_5

L. Itti, C. Koch, and E. Niebur, A model of saliency-based visual attention for rapid scene analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.11, pp.1254-1259, 1998.
DOI : 10.1109/34.730558

J. Harel, C. Koch, and P. Perona, Graph-based visual saliency Advances in neural information processing systems 19, p.545, 2007.

X. Hou and L. Zhang, Saliency detection: A spectral residual approach In: Computer Vision and Pattern Recognition, CVPR'07. IEEE Conference on, pp.1-8, 2007.

N. Bruce and J. Tsotsos, Saliency, attention, and visual search: An information theoretic approach, Journal of Vision, vol.9, issue.3, 2009.
DOI : 10.1167/9.3.5
URL : http://doi.org/10.1167/9.3.5

M. Cerf, J. Harel, W. Einh-"-auser, and C. Koch, Predicting human gaze using low-level saliency combined with face detection Advances in neural information processing systems, pp.20-241, 2008.

H. Grassmann, On the theory of compound colors, Phil. Mag, vol.7, pp.254-64, 1854.

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, pp.538-542, 1999.

J. Tyo, A. Konsolakis, D. Diersen, and R. 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

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

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

N. Jacobson and M. 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

H. Zhang, H. Peng, M. Fairchild, and E. Montag, Hyperspectral image visualization based on a human visual model, Human Vision and Electronic Imaging XIII, p.68060, 2008.
DOI : 10.1117/12.766703

S. Nascimento, F. Ferreira, and D. 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

S. Cai, Q. Du, and R. Moorhead, Hyperspectral imagery visualization using double layers, IEEE Trans. on Geoscience and Remote Sensing, vol.45, pp.3028-3036, 2007.