I. Amro, J. Mateos, M. Vega, R. Molina, and A. K. Katsaggelos, A survey of classical methods and new trends in pansharpening of multispectral images, EURASIP Journal on Advances in Signal Processing, vol.2011, issue.1, pp.1-22, 2011.
DOI : 10.1080/01431160412331330239

J. M. Bioucas-dias, A. Plaza, N. Dobigeon, M. Parente, Q. Du et al., Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.5, issue.2, pp.354-379, 2012.
DOI : 10.1109/JSTARS.2012.2194696
URL : https://hal.archives-ouvertes.fr/hal-00760787

G. Camps-valls, D. Tuia, L. Bruzzone, and J. A. Benediktsson, Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods, IEEE Signal Processing Magazine, vol.31, issue.1, pp.45-54, 2014.
DOI : 10.1109/MSP.2013.2279179

M. Cetin and N. Musaoglu, Merging hyperspectral and panchromatic image data: qualitative and quantitative analysis, International Journal of Remote Sensing, vol.62, issue.7, pp.1779-1804, 2009.
DOI : 10.1080/014311698215973

C. Chisense, J. Engels, M. Hahn, and E. Gülch, PANSHARPENING OF HYPERSPECTRAL IMAGES IN URBAN AREAS, Proc. XXII Congr. of the Int. Society for Photogrammetry, 2012.
DOI : 10.5194/isprsarchives-XXXIX-B7-387-2012

G. Chen, S. Qian, J. Ardouin, and W. Xie, SUPER-RESOLUTION OF HYPERSPECTRAL IMAGERY USING COMPLEX RIDGELET TRANSFORM, International Journal of Wavelets, Multiresolution and Information Processing, vol.10, issue.03, 2012.
DOI : 10.1142/S0219691312500257

V. Shettigara, A generalized component substitution technique for spatial enhancement of multispectral images using a higher resolution data set, Photogramm. Eng. Remote Sens, vol.58, issue.5, pp.561-567, 1992.

J. Zhou, D. Civco, and J. Silander, A wavelet transform method to merge Landsat TM and SPOT panchromatic data, International Journal of Remote Sensing, vol.19, issue.4, pp.743-757, 1998.
DOI : 10.1080/014311698215973

R. C. Hardie, M. T. Eismann, and G. L. Wilson, MAP Estimation for Hyperspectral Image Resolution Enhancement Using an Auxiliary Sensor, IEEE Transactions on Image Processing, vol.13, issue.9, pp.1174-1184, 2004.
DOI : 10.1109/TIP.2004.829779

Q. Wei, N. Dobigeon, and J. Tourneret, Bayesian fusion of multiband images, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01187286

Y. Zhang, S. De-backer, and P. Scheunders, Noise-Resistant Wavelet-Based Bayesian Fusion of Multispectral and Hyperspectral Images, IEEE Transactions on Geoscience and Remote Sensing, vol.47, issue.11, pp.3834-3843, 2009.
DOI : 10.1109/TGRS.2009.2017737

S. S. Chen, D. L. Donoho, and M. A. Saunders, Atomic Decomposition by Basis Pursuit, SIAM Journal on Scientific Computing, vol.20, issue.1, pp.33-61, 1998.
DOI : 10.1137/S1064827596304010

M. Aharon, M. Elad, and A. Bruckstein, <tex>$rm K$</tex>-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation, IEEE Transactions on Signal Processing, vol.54, issue.11, pp.4311-4322, 2006.
DOI : 10.1109/TSP.2006.881199

J. Mairal, F. Bach, J. Ponce, and G. Sapiro, Online dictionary learning for sparse coding, Proceedings of the 26th Annual International Conference on Machine Learning, ICML '09
DOI : 10.1145/1553374.1553463

Z. Xing, M. Zhou, A. Castrodad, G. Sapiro, and L. Carin, Dictionary Learning for Noisy and Incomplete Hyperspectral Images, SIAM Journal on Imaging Sciences, vol.5, issue.1, pp.33-56, 2012.
DOI : 10.1137/110837486

D. Liu and P. T. Boufounos, Dictionary learning based pansharpening, Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pp.2397-2400, 2012.

M. Afonso, J. Bioucas-dias, and M. A. Figueiredo, An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems, IEEE Transactions on Image Processing, vol.20, issue.3, pp.681-695, 2011.
DOI : 10.1109/TIP.2010.2076294

R. Molina, M. Vega, J. Mateos, and A. K. Katsaggelos, Variational posterior distribution approximation in Bayesian super resolution reconstruction of multispectral images, Applied and Computational Harmonic Analysis, vol.24, issue.2, pp.251-267, 2008.
DOI : 10.1016/j.acha.2007.03.006

S. Osher, M. Burger, D. Goldfarb, J. Xu, and W. Yin, An Iterative Regularization Method for Total Variation-Based Image Restoration, Multiscale Modeling & Simulation, vol.4, issue.2, pp.460-489, 2005.
DOI : 10.1137/040605412

S. Mallat, A wavelet tour of signal processing, 1999.

N. Ahmed, T. Natarajan, and K. Rao, Discrete Cosine Transform, IEEE Transactions on Computers, vol.23, issue.1, pp.90-93, 1974.
DOI : 10.1109/T-C.1974.223784

M. Elad and M. Aharon, Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries, IEEE Transactions on Image Processing, vol.15, issue.12, pp.3736-3745, 2006.
DOI : 10.1109/TIP.2006.881969
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.109.6477

S. Li, H. Yin, and L. Fang, Remote Sensing Image Fusion via Sparse Representations Over Learned Dictionaries, IEEE Transactions on Geoscience and Remote Sensing, vol.51, issue.9, pp.4779-4789, 2013.
DOI : 10.1109/TGRS.2012.2230332

R. O. Green, M. L. Eastwood, C. M. Sarture, T. G. Chrien, M. Aronsson et al., Imaging Spectroscopy and the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS), Remote Sensing of Environment, vol.65, issue.3, pp.227-248, 1998.
DOI : 10.1016/S0034-4257(98)00064-9

D. Fleming, Effect of relative spectral response on multi-spectral measurements and NDVI from different remote sensing systems, 2006.

X. X. Zhu, X. Wang, and R. Bamler, Compressive sensing for image fusion - with application to pan-sharpening, 2011 IEEE International Geoscience and Remote Sensing Symposium, pp.2793-2796, 2011.
DOI : 10.1109/IGARSS.2011.6049794