D. Landgrebe, Hyperspectral image data analysis, IEEE Signal Processing Magazine, vol.19, issue.1, pp.17-28, 2002.
DOI : 10.1109/79.974718

K. Navulur, Multispectral Image Analysis Using the Object-Oriented Paradigm (Remote Sensing Applications Series), 2006.

R. Bacon, The SAURON project - I. The panoramic integral-field spectrograph, Monthly Notices of the Royal Astronomical Society, vol.326, issue.1, pp.23-35, 2001.
DOI : 10.1046/j.1365-8711.2001.04612.x
URL : https://hal.archives-ouvertes.fr/hal-00008410

C. Chang and E. , Hyperspectral Data Exploitation: Theory and Applications, 2007.
DOI : 10.1002/0470124628

H. Aanaes, J. R. Sveinsson, A. A. Nielsen, T. Bovith, and J. A. Benediktsson, Model-Based Satellite Image Fusion, IEEE Transactions on Geoscience and Remote Sensing, vol.46, issue.5, pp.1336-1346, 2008.
DOI : 10.1109/TGRS.2008.916475

T. Stathaki, Image Fusion: Algorithms and Applications, 2011.

M. Gong, Z. Zhou, and J. Ma, Change Detection in Synthetic Aperture Radar Images based on Image Fusion and Fuzzy Clustering, IEEE Transactions on Image Processing, vol.21, issue.4, pp.2141-2151, 2012.
DOI : 10.1109/TIP.2011.2170702

A. P. James and B. V. Dasarathy, Medical image fusion: A survey of the state of the art, Information Fusion, vol.19, pp.4-19, 2014.
DOI : 10.1016/j.inffus.2013.12.002

B. Aiazzi, L. Alparone, S. Baronti, A. Garzelli, and M. Selva, 25 years of pansharpening: A critical review and new developments, Signal and Image Processing for Remote Sensing, pp.533-548, 2011.

L. Loncan, Hyperspectral Pansharpening: A Review, IEEE Geoscience and Remote Sensing Magazine, vol.3, issue.3
DOI : 10.1109/MGRS.2015.2440094
URL : https://hal.archives-ouvertes.fr/hal-01403205

N. Yokoya, N. Mayumi, and A. Iwasaki, Cross-Calibration for Data Fusion of EO-1/Hyperion and Terra/ASTER, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.6, issue.2, pp.419-426, 2013.
DOI : 10.1109/JSTARS.2012.2208449

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

M. González-audícana, J. L. Saleta, R. G. Catalán, and R. García, Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition, IEEE Transactions on Geoscience and Remote Sensing, vol.42, issue.6
DOI : 10.1109/TGRS.2004.825593

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

R. Molina, A. K. Katsaggelos, J. Mateos, ]. R. Molina, M. Vega et al., Bayesian and regularization methods for hyperparameter estimation in image restoration, IEEE Transactions on Image Processing, vol.8, issue.2, pp.231-246, 1999.
DOI : 10.1109/83.743857

Y. Zhang, A. Duijster, and P. Scheunders, A Bayesian Restoration Approach for Hyperspectral Images, IEEE Transactions on Geoscience and Remote Sensing, vol.50, issue.9, pp.3453-3462, 2012.
DOI : 10.1109/TGRS.2012.2184122

N. Yokoya, T. Yairi, and A. Iwasaki, Coupled Nonnegative Matrix Factorization Unmixing for Hyperspectral and Multispectral Data Fusion, IEEE Transactions on Geoscience and Remote Sensing, vol.50, issue.2, pp.528-537, 2012.
DOI : 10.1109/TGRS.2011.2161320

Q. Wei, N. Dobigeon, and J. Tourneret, Bayesian fusion of hyperspectral and multispectral images, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.3176-3180, 2014.
DOI : 10.1109/ICASSP.2014.6854186
URL : https://hal.archives-ouvertes.fr/hal-01150337

Q. Wei, J. Bioucas-dias, N. Dobigeon, and J. Tourneret, Hyperspectral and Multispectral Image Fusion Based on a Sparse Representation, IEEE Transactions on Geoscience and Remote Sensing, vol.53, issue.7, pp.3658-3668, 2015.
DOI : 10.1109/TGRS.2014.2381272
URL : https://hal.archives-ouvertes.fr/hal-01168121

N. Yokoya and A. Iwasaki, Hyperspectral and multispectral data fusion mission on hyperspectral imager suite (HISUI), 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS, pp.4086-4089, 2013.
DOI : 10.1109/IGARSS.2013.6723731

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

Q. Wei, N. Dobigeon, and J. Tourneret, Bayesian fusion of multispectral and hyperspectral images using a block coordinate descent method, Proc. IEEE GRSS Workshop Hyperspectral Image Signal Process, pp.1-5, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01377335

M. Simoes, J. Bioucas-dias, L. B. Almeida, and J. Chanussot, A Convex Formulation for Hyperspectral Image Superresolution via Subspace-Based Regularization, IEEE Transactions on Geoscience and Remote Sensing, vol.53, issue.6, pp.3373-3388, 2015.
DOI : 10.1109/TGRS.2014.2375320
URL : https://hal.archives-ouvertes.fr/hal-01246551

C. P. Robert, The Bayesian Choice: From Decision-Theoretic Foundations to Computational Implementation, 2007.
DOI : 10.1007/978-1-4757-4314-2

M. V. Afonso, J. M. 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

C. Chang, X. Zhao, M. L. Althouse, and J. J. Pan, Least squares subspace projection approach to mixed pixel classification for hyperspectral images, IEEE Transactions on Geoscience and Remote Sensing, vol.36, issue.3, pp.898-912, 1998.
DOI : 10.1109/36.673681

J. M. Bioucas-dias and J. M. Nascimento, Hyperspectral Subspace Identification, IEEE Transactions on Geoscience and Remote Sensing, vol.46, issue.8, pp.2435-2445, 2008.
DOI : 10.1109/TGRS.2008.918089

C. L. Lawson and R. J. Hanson, Solving Least Squares Problems, 1974.
DOI : 10.1137/1.9781611971217

R. L. Lagendijk and J. Biemond, Iterative identification and restoration of images, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing, 1990.
DOI : 10.1109/ICASSP.1988.196759

M. Elad and A. Feuer, Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images, IEEE Transactions on Image Processing, vol.6, issue.12, pp.1646-1658, 1997.
DOI : 10.1109/83.650118

M. Elad and Y. Hel-or, A fast super-resolution reconstruction algorithm for pure translational motion and common space-invariant blur, IEEE Transactions on Image Processing, vol.10, issue.8, pp.1187-1193, 2001.
DOI : 10.1109/83.935034

S. C. Park, M. K. Park, and M. G. Kang, Super-resolution image reconstruction: a technical overview, IEEE Signal Processing Magazine, vol.20, issue.3, pp.21-36, 2003.
DOI : 10.1109/MSP.2003.1203207

R. H. Bartels and G. W. Stewart, Solution of the matrix equation AX + XB = C [F4], Communications of the ACM, vol.15, issue.9, pp.820-826, 1972.
DOI : 10.1145/361573.361582

R. A. Horn and C. R. Johnson, Matrix Analysis, 2012.

R. C. Hardie, K. J. Barnard, and E. E. Armstrong, Joint MAP registration and high-resolution image estimation using a sequence of undersampled images, IEEE Transactions on Image Processing, vol.6, issue.12, pp.1621-1633, 1997.
DOI : 10.1109/83.650116

M. T. Eismann and R. C. Hardie, Application of the stochastic mixing model to hyperspectral resolution enhancement, IEEE Transactions on Geoscience and Remote Sensing, vol.42, issue.9, pp.1924-1933, 2004.
DOI : 10.1109/TGRS.2004.830644

N. A. Woods, N. P. Galatsanos, and A. K. Katsaggelos, Stochastic methods for joint registration, restoration, and interpolation of multiple undersampled images, IEEE Transactions on Image Processing, vol.15, issue.1, pp.201-213, 2006.
DOI : 10.1109/TIP.2005.860355

A. N. Tikhonov and V. Y. , Arsenin, Solutions of Ill-Posed Problems (Scripta Series in Mathematics) Great Falls, 1977.

P. L. Combettes and J. Pesquet, Proximal Splitting Methods in Signal Processing, Fixed-Point Algorithms for Inverse Problems in Science and Engineering, pp.185-212, 2011.
DOI : 10.1007/978-1-4419-9569-8_10
URL : https://hal.archives-ouvertes.fr/hal-00643807

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

Q. Wei, N. Dobigeon, and J. Tourneret, Fast fusion of multi-band images based on solving a Sylvester equation?Complementary results and supporting materials, Dept. IRIT/INP-ENSEEIHT, 2015.

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

R. O. Green, 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