L. Wald, Some terms of reference in data fusion, IEEE Transactions on Geoscience and Remote Sensing, vol.37, issue.3, pp.1190-1193, 1999.
DOI : 10.1109/36.763269
URL : https://hal.archives-ouvertes.fr/hal-00356150

T. Ranchin and L. Wald, Fusion of high spatial and spectral resolution images: The ARSIS concept and its implementation, Photogramm. Eng. Remote Sens, vol.66, issue.1, pp.49-61, 2000.
URL : https://hal.archives-ouvertes.fr/hal-00356168

T. Ranchin, B. Aiazzi, L. Alparone, S. Baronti, and L. Wald, Image fusion???the ARSIS concept and some successful implementation schemes, ISPRS Journal of Photogrammetry and Remote Sensing, vol.58, issue.1-2, pp.4-18, 2003.
DOI : 10.1016/S0924-2716(03)00013-3
URL : https://hal.archives-ouvertes.fr/hal-00356163

I. Couloigner, T. Ranchin, V. P. Valtonen, and L. Wald, Benefit of the future SPOT-5 and of data fusion to urban roads mapping, International Journal of Remote Sensing, vol.19, issue.8, pp.1519-1532, 1998.
DOI : 10.1080/014311698215324

V. S. Raptis, R. A. Vaughan, T. Ranchin, and L. Wald, Assessment of different data fusion methods for the classification of an urban environment Fusion of Earth Data: Merging Point Measurements, Raster Maps Remotely Sensed Images, Proc. 2nd Conf, pp.167-182, 1998.

L. Wald and J. Baleynaud, Observing air quality over the city of Nantes by means of Landsat thermal infrared data, International Journal of Remote Sensing, vol.20, issue.5, pp.947-959, 1999.
DOI : 10.1080/014311699213019
URL : https://hal.archives-ouvertes.fr/hal-00356181

W. Yang, F. Cauneau, J. Paris, and T. Ranchin, Influence of landscape changes on the results of the fusion of P and XS images by different methods Fusion of Earth Data: Merging Point Measurements, Raster Maps Remotely Sensed Images, Proc. 3rd Conf, pp.47-56, 2000.

Y. Cornet, S. De-béthune, M. Binard, F. Muller, G. Legros et al., RS data fusion by local mean and variance matching algorithms: their respective efficiency in a complex urban context, IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas (Cat. No.01EX482), pp.105-111, 2001.
DOI : 10.1109/DFUA.2001.985736

A. Fanelli, A. Leo, and M. Ferri, Remote sensing images data fusion: a wavelet transform approach for urban analysis, IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas (Cat. No.01EX482), pp.112-116, 2001.
DOI : 10.1109/DFUA.2001.985737

D. Vaiopoulos, K. Nikolakopoulos, and G. Skianis, A comparative study of resolution merge techniques and their efficiency in processing images of urban areas, IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas (Cat. No.01EX482), pp.270-274, 2001.
DOI : 10.1109/DFUA.2001.985894

M. , G. Audícana, and A. Seco, Fusion of multispectral and panchromatic images using wavelet transform. Evaluation of crop classification accuracy, Proc. 22nd EARSeL Annu. Symp. Geoinformation Eur.-Wide Integr, pp.4-6, 2002.

Z. Wang, D. Ziou, C. Armenakis, D. Li, Q. Li et al., A comparative analysis of image fusion methods, IEEE Transactions on Geoscience and Remote Sensing, vol.43, issue.6, pp.1391-1402, 1992.
DOI : 10.1109/TGRS.2005.846874

T. Tu, S. Su, H. Shyu, and P. S. Huang, A new look at IHS-like image fusion methods, Information Fusion, vol.2, issue.3, pp.177-186, 2001.
DOI : 10.1016/S1566-2535(01)00036-7

Y. Zhang, Understanding image fusion, Photogramm. Eng. Remote Sens, vol.70, issue.6, pp.657-661, 2004.

T. Tu, P. S. Huang, C. Hung, and C. Chang, A Fast Intensity???Hue???Saturation Fusion Technique With Spectral Adjustment for IKONOS Imagery, IEEE Geoscience and Remote Sensing Letters, vol.1, issue.4, pp.309-312, 2004.
DOI : 10.1109/LGRS.2004.834804

M. G. Audícana, X. Otazu, O. Fors, and J. A. Alvarez-mozos, A low computational-cost method to fuse IKONOS images using the spectral response function of its sensors, IEEE Transactions on Geoscience and Remote Sensing, vol.44, issue.6, pp.1683-1691, 2006.
DOI : 10.1109/TGRS.2005.863299

J. Núñez, X. Otazu, O. Fors, A. Prades, V. Palà et al., Multiresolution-based image fusion with additive wavelet decomposition, IEEE Transactions on Geoscience and Remote Sensing, vol.37, issue.3, pp.1204-1211, 1999.
DOI : 10.1109/36.763274

B. Aiazzi, L. Alparone, S. Baronti, and A. Garzelli, Context-driven fusion of high spatial and spectral resolution images based on oversampled multiresolution analysis, IEEE Transactions on Geoscience and Remote Sensing, vol.40, issue.10, pp.2300-2312, 2002.
DOI : 10.1109/TGRS.2002.803623

B. Aiazzi, L. Alparone, S. Baronti, A. Garzelli, and M. Selva, MTF-tailored Multiscale Fusion of High-resolution MS and Pan Imagery, Photogrammetric Engineering & Remote Sensing, vol.72, issue.5, pp.591-596, 2006.
DOI : 10.14358/PERS.72.5.591

M. G. Audícana, J. L. Saleta, R. García-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, pp.1291-1299, 2004.
DOI : 10.1109/TGRS.2004.825593

A. Garzelli and F. Nencini, Interband structure modeling for Pan-sharpening of very high-resolution multispectral images, Information Fusion, vol.6, issue.3, pp.213-224, 2005.
DOI : 10.1016/j.inffus.2004.06.008

X. Otazu, M. G. Audícana, O. Fors, and J. Núñez, Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods, IEEE Transactions on Geoscience and Remote Sensing, vol.43, issue.10, pp.2376-2385, 2005.
DOI : 10.1109/TGRS.2005.856106

A. Garzelli and F. Nencini, Fusion of Panchromatic and Multispectral Images by Genetic Algorithms, 2006 IEEE International Symposium on Geoscience and Remote Sensing, pp.3810-3813, 2006.
DOI : 10.1109/IGARSS.2006.976

A. Garzelli and F. Nencini, PAN???sharpening of very high resolution multispectral images using genetic algorithms, International Journal of Remote Sensing, vol.63, issue.15, pp.3273-3292, 2006.
DOI : 10.1080/014311699212317

M. Choi, A new intensity-hue-saturation fusion approach to image fusion with a tradeoff parameter, IEEE Transactions on Geoscience and Remote Sensing, vol.44, issue.6, pp.1672-1682, 2006.
DOI : 10.1109/TGRS.2006.869923

Y. Zhang, A new automatic approach for effectively fusing Landsat-7 as well as IKONOS images, Proc. IEEE Int. Geosci. Remote Sens. Symp, pp.2429-2431, 2002.

L. Wald, T. Ranchin, and M. Mangolini, Fusion of satellite images of different spatial resolutions: Assessing the quality of resulting images, Photogramm. Eng. Remote Sens, vol.63, issue.6, pp.691-699, 1997.
URL : https://hal.archives-ouvertes.fr/hal-00365304

C. Thomas and L. Wald, Comparing distances for quality assessment of fused products, Proc. 26th EARSeL Annu, pp.101-111, 2006.

J. Li, Spatial quality evaluation of fusion of different resolution images, ISPRS Int. Arch. Photogramm. Remote Sens, vol.33, pp.2-2, 2000.

C. Thomas and L. Wald, Assessment of the quality of fused products, Proc. 24th EARSeL Annu, pp.317-325, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00395061

L. Alparone, S. Baronti, A. Garzelli, and F. Nencini, A Global Quality Measurement of Pan-Sharpened Multispectral Imagery, IEEE Geoscience and Remote Sensing Letters, vol.1, issue.4
DOI : 10.1109/LGRS.2004.836784

Z. Wang and A. C. Bovik, A universal image quality index, IEEE Signal Processing Letters, vol.9, issue.3, pp.81-84, 2002.
DOI : 10.1109/97.995823

C. Thomas and L. Wald, A MTF-Based Distance for the Assessment of Geometrical Quality of Fused Products, 2006 9th International Conference on Information Fusion, pp.1-7, 2006.
DOI : 10.1109/ICIF.2006.301687
URL : https://hal.archives-ouvertes.fr/hal-00526757

F. Laporterie-déjean, H. De-boissezon, G. Flouzat, and M. Lefèvre-fonollosa, Thematic and statistical evaluations of five panchromatic/multispectral fusion methods on simulated PLEIADES-HR images, Information Fusion, vol.6, issue.3, pp.193-212, 2005.
DOI : 10.1016/j.inffus.2004.06.006