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

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

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

T. Ranchin and L. Wald, Fusion of high spatial and spectral resolution images: The ARSIS concept and its implementation, Photogrammetric Engineering and Remote Sensing, pp.66-115, 2000.
URL : https://hal.archives-ouvertes.fr/hal-00356168

C. Thomas and L. Wald, Assessment of the quality of fused products The Netherlands: Millpress, Proc. 24th EARSeL Symp, pp.317-325, 2004.

C. Thomas, T. Ranchin, L. Wald, and J. Chanussot, Synthesis of Multispectral Images to High Spatial Resolution: A Critical Review of Fusion Methods Based on Remote Sensing Physics, IEEE Transactions on Geoscience and Remote Sensing, vol.46, issue.5, pp.46-1301, 2008.
DOI : 10.1109/TGRS.2007.912448

URL : https://hal.archives-ouvertes.fr/hal-00348848

D. A. Yocky, Multiresolution wavelet decomposition image merger of Landsat Thematic Mapper and SPOT panchromatic data, Photogramm. Eng. Remote Sens, vol.62, pp.1067-1074, 1996.

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.40-2300, 2002.
DOI : 10.1109/TGRS.2002.803623

Z. Wang, D. Ziou, C. Armenakis, D. Li, and Q. Li, A comparative analysis of image fusion methods, IEEE Trans. Geosci. Remote Sens, vol.43, pp.81-84, 2005.

P. Terretaz, Comparison of different methods to merge SPOT P and XS data : Evaluation in an urban area Future Trends in Remote Sensing, Proceedings, EARSeL Symposium, pp.435-443, 1997.

L. Alparone, J. Wald, C. Chanussot, P. Thomas, L. M. Gamba et al., Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest, IEEE Transactions on Geoscience and Remote Sensing, vol.45, issue.10, pp.45-3012, 2007.
DOI : 10.1109/TGRS.2007.904923

URL : https://hal.archives-ouvertes.fr/hal-00177641

C. Thomas, Fusion d'images de résolutions spatiales différentes (Fusion of images of different spatial resolutions), 2006.

G. Peyré, Géométrie multi-échelles pour les images et les textures, 2005.

D. Grois, I. Shcherback, T. Danov, and O. , Theoretical approach to CMOS APS PSF and MTF modeling - evaluation, IEEE Sensors Journal, vol.6, issue.1, pp.118-124, 2006.
DOI : 10.1109/JSEN.2005.856128

L. Aiazzi, S. Alparone, A. Baronti, M. Garzelli, and . Selva, An MTF-based spectral distortion minimizing model for pan-sharpening of very high resolution multispectral images of urban areas, 22nd Digital Avionics Systems Conference. Proceedings (Cat. No.03CH37449), pp.90-94, 2003.
DOI : 10.1109/DFUA.2003.1219964

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

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

B. Aiazzi, L. Alparone, S. Baronti, A. Garzelli, and M. Et-selva, Anmtf basedspectraldistortionminimizingmodelforpan sharpening of very high resolution multispectral images of urban areas, pp.90-94, 2003.

B. Aiazzi, L. Alparone, S. Baronti, A. Garzelli, and M. Et-selva, MTF-tailored Multiscale Fusion of High-resolution MS and Pan Imagery, Photogrammetric Engineering & Remote Sensing, vol.72, issue.5, pp.72591-596, 2006.
DOI : 10.14358/PERS.72.5.591

B. Aiazzi, S. Baronti, F. Lotti, and M. Etselva, A Comparison Between Global and Context-Adaptive Pansharpening of Multispectral Images, IEEE Geoscience and Remote Sensing Letters, vol.6, issue.2, pp.302-306, 2009.
DOI : 10.1109/LGRS.2008.2012003

A. Almansa, S. Durand, and B. Et-rougé, Measuring and Improving Image Resolution by Adaptation of the Reciprocal Cell, Journal of Mathematical Imaging and Vision, vol.21, issue.3, pp.235-279, 2004.
DOI : 10.1023/B:JMIV.0000043739.51886.01

URL : https://hal.archives-ouvertes.fr/hal-00712157

L. Alparone, B. Aiazzi, S. Baronti, A. Garzelli, F. Nencini et al., Multispectral and Panchromatic Data Fusion Assessment Without Reference, Photogrammetric Engineering & Remote Sensing, vol.74, issue.2, pp.193-200, 2008.
DOI : 10.14358/PERS.74.2.193

L. Alparone, S. Baronti, A. Garzelli, and F. Et-nencini, A Global Quality Measurement of Pan-Sharpened Multispectral Imagery, IEEE Geoscience and Remote Sensing Letters, vol.1, issue.4, pp.313-317, 2004.
DOI : 10.1109/LGRS.2004.836784

L. Alparone, L. Wald, J. Chanussot, C. Thomas, P. Gamba et al., Comparison of pansharpening algorithms: Outcomeofthe2006grs sdata fusioncontest, IEEETransactions onGeoscienceandRemoteSensing, issue.10, pp.453012-3021, 2007.

M. Banham and A. Et-katsaggelos, Digital image restoration, IEEE Signal Processing Magazine, vol.14, issue.2, pp.24-41, 1997.
DOI : 10.1109/79.581363

G. Blanchet, Etudedesartefactsdeflou,ringingetaliasing en imagerie numérique. Applications à la restauration, Thèse de doctorat, 2006.

A. L. Chesnel, Quantificationdedégâtssurlebâtiliesaux catastrophesmajeuresparimagessatellitemultimodalestrèshaute résolution, 2008.

[. Ign, Imagerie spatiale des principes d'acquisitionautraitementdes images optiquespourl'observation delaTerre, 2008.

B. Coulange and L. Etmoisan, Analiasingdetectionalgorithm based on suspicious colocalizations of fourier coefficients, 2010.

J. Delon, Comparaison fine d'images et autres problèmes, 2004.

M. Do and M. Vetterli, The contourlet transform: an efficient directional multiresolution image representation, IEEE Transactions on Image Processing, vol.14, issue.12, pp.2091-2106, 2005.
DOI : 10.1109/TIP.2005.859376

F. Douillet and P. Et-blanc, Method for increasing the resolutionofmulti spectralimages, 2009.

J. M. Dubois, J. P. Donnay, and A. Etozer, Télédétection des milieux urbains et périurbains, 1997.

M. Estribeau, P. R. Et-magnan, S. P. Neeck, and H. Et-shimoda, Fast MTF measurement of CMOS imagers at the chip level using ISO 12233 slanted-edge methodology, Sensors, Systems, and Next-Generation Satellites VIII, pp.557-567, 2004.
DOI : 10.1117/12.565503

P. Gamba and J. Etchanussot, Foreword to the Special Issue on Data Fusion, IEEE Transactions on Geoscience and Remote Sensing, vol.46, issue.5, pp.1283-1288, 2008.
DOI : 10.1109/TGRS.2008.919761

URL : https://hal.archives-ouvertes.fr/hal-00348849

A. Garzelli and F. Etnencini, Interbandstructuremodelingfor pan sharpening of very high resolution multispectral images, InformationFusion, vol.6, issue.3, pp.213-224, 2005.

C. Gaudin-delerieuetal-]-gaudin-delerieu, J. L. Lamard, P. Cheroutre, B. Bailly, P. Dhuicq et al., The high resolution optical instruments for the pleaides hr earth observation satellites, ProceedingsoftheInternationalConferenceonSpaceOptics, 2008.

. Groisetal, D. Grois, I. Shcherback, T. Danov, and O. Et-yadid-pecht, Theoretical approach to cmos aps psf and mtf modeling evaluation, SensorsJournal,IEEE, vol.6, issue.1, pp.118-124, 2006.

M. Khan, L. Alparone, and J. Et-chanussot, Pansharpening Quality Assessment Using the Modulation Transfer Functions of Instruments, IEEE Transactions on Geoscience and Remote Sensing, vol.47, issue.11, pp.473880-3891, 2009.
DOI : 10.1109/TGRS.2009.2029094

URL : https://hal.archives-ouvertes.fr/hal-00449443

M. M. Khan, Fusion and Quality Assement of Multispectral, Hyperspectral and Panchromatic Satellite Images, 2009.

K. Kohm, Modulation transfer function measurement method and results from the orbview 3 high resolution imaging satellite, 2004.

H. Krim, D. Tucker, S. Mallat, and D. Et-donoho, On denoising and best signal representation, IEEE Transactions on Information Theory, vol.45, issue.7, pp.452225-2238, 1999.
DOI : 10.1109/18.796365

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.77.690

D. Kundur and D. Et-hatzinakos, Blind image deconvolution, IEEE Signal Processing Magazine, vol.13, issue.3, pp.43-64, 1996.
DOI : 10.1109/79.489268

. Lamardetal, J. L. Lamard, C. Gaudin-delrieu, D. Valentini, C. Renard et al., Design of the high resolutionopticalinstrumentforthepleiadeshrearthobservation satellites, Proceedings of the 5th International Conference on Space Optics, 2004.

F. Laporterie-déjeanetal-]-laporterie-déjean, H. Deboissezon, G. Flouzat, and M. J. Et-lefèvre-fonollosa, Thematic and statistical evaluations of five panchromatic/multispectral fusion methods on simulated pleiades hrimages, InformationFusion, vol.6, issue.3, pp.193-212, 2005.

C. Latry, B. Rougé, and S. Etbaillarin, Lachaineimagespot5 thr : un exemple d'optimisation globale, 18° Colloque sur le traitementdusignaletdesimages, pp.184-187, 2001.

C. Latry and B. Etrouge, Superresolution:quincunxsampling and fusion processing, Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International, pp.315-317, 2003.

E. Lepennec, Bandelettes et représentations géométriques desimages, Thèsededoctorat,ÉcolePolytechnique(CMAP), 2002.

J. Lee and C. Et-lee, Fast and efficient panchromatic sharpening, IEEE Transactions on Geoscience and Remote Sensing, vol.48, issue.1, pp.155-163, 2010.

D. Leger, J. Duffaut, and F. Et-robinet, MTF measurement using spotlight, Proceedings of IGARSS '94, 1994 IEEE International Geoscience and Remote Sensing Symposium, pp.2010-2012, 1994.
DOI : 10.1109/IGARSS.1994.399638

F. Lei and H. Ettiziani, Modulationtransferfunctionobtained fromimagestructures, éditeurs : Proceedings of the International Workshops on High precision navigation, pp.366-377, 1988.

J. Li, Spatial quality evaluation of fusion of different resolution images. International Archives of the Photogrammetry, pp.339-346, 2000.

M. Luxen and W. Et-förstner, Characterizing image quality: Blindestimationofthepointspreadfunctionfromasingleimage, p.205, 2002.

F. Malgouyres, Augmentation de la résolution d'images satellitales:Théorievariationelleetaplications.Thèsededoctorat, 1999.

S. Mallat, A theory for multiresolution signal decomposition: the wavelet representation. Pattern Analysis and MachineIntelligence, IEEETransactionson, issue.7, pp.11674-693, 1989.

K. G. Nikolakopoulos, Comparison of Nine Fusion Techniques for Very High Resolution Data, Photogrammetric Engineering & Remote Sensing, vol.74, issue.5, pp.647-659, 2008.
DOI : 10.14358/PERS.74.5.647

J. Nunez, X. Otazu, O. Fors, A. Prades, V. Pala 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

URL : http://diposit.ub.edu/dspace/bitstream/2445/8545/1/500850.pdf

. Introductionofsensorspectralresponseintoimagefusionmethods, application to wavelet based methods, IEEE Transactions on GeoscienceandRemoteSensing, vol.43, issue.10, pp.2376-2385

. Patraetal, S. Patra, K. Mishra, N. Et-chandrakanth, and R. , Image quality improvement through mtf compensation a treatment to highresolutiondata, pp.86-93, 2002.

G. Piella, A general framework for multiresolution image fusion:frompixelstoregions.InformationFusion, pp.259-280, 2003.

C. Pohl and J. L. Van-genderen, Multisensor image fusion in remote sensing: concepts, methods and applications, InternationalJournalinRemoteSensing, vol.19, issue.5, pp.823-854, 1998.

R. Péteri and T. Et-ranchin, Potentialit??s des nouveaux capteurs ?? tr??s haute r??solution spatiale pour l'extraction des r??seaux de rues urbains, Revue internationale de g??omatique, vol.14, issue.3-4, pp.485-504, 2004.
DOI : 10.3166/rig.14.485-504

T. Ranchin, B. Aiazzi, L. Alparone, S. Baronti, and L. Et-wald, Image fusion the arsis concept and some successful implementationschemes, InternationalJournalofPhotogrammetry &RemoteSensing, vol.58, pp.4-18, 2003.

T. Ranchin and L. Et-wald, The wavelet transform for the analysis of remotely sensed images, International Journal of Remote Sensing, vol.119, issue.3, pp.615-619, 1993.
DOI : 10.1109/79.91217

URL : https://hal.archives-ouvertes.fr/hal-00464709

T. Ranchin and L. Etwald, Fusionofhighspatialandspectral resolution images: The arsis concept and its implementation, pp.49-61, 2000.

A. Rosak, C. Latry, V. Pascal, and D. Etlaubier, Fromspot5 to pleiades hr : Evolution of the instrumental specifications, Proceedings of the 5th International Conference on Space Optics 2004(ISCO),30March22April2004, pp.141-148, 2004.

R. Ryan, B. Baldridge, R. A. Schowengerdt, T. Choi, D. L. Helder et al., Ikonos spatial resolution and image interpretability characterization. Remote sensing of environment, pp.37-52, 2003.
DOI : 10.1016/j.rse.2003.07.006

C. Samson, L. Blanc-feraud, G. Aubert, and J. Etzerubia, A variational model for image classification and restoration, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.5, pp.460-472, 2000.
DOI : 10.1109/34.857003

. Shahetal, V. Shah, N. Younan, and R. King, An efficient pan sharpening method via a combined adaptive pca approach and contourlets, IEEE Transactions on Geoscience and Remote Sensing, issue.5, pp.461323-1335, 2008.

[. Shcherback, I. Et-yadid-pecht, and O. , CMOS APS MTF modeling, IEEE Transactions on Electron Devices, vol.48, issue.12, pp.482710-2715, 2001.
DOI : 10.1109/16.974694

F. Sroubek and J. Et-flusser, Multichannel blind iterative image restoration, IEEE Transactions on Image Processing, vol.12, issue.9, pp.1094-1106, 2003.
DOI : 10.1109/TIP.2003.815260

C. Thomas, Fusion d'images de résolutions spatiales différentes, 2006.

C. Thomas, T. Ranchin, L. Wald, and J. Et-chanussot, Synthesis of multispectral images to high spatial resolution: A criticalreviewoffusionmethodsbasedonremotesensingphysics, IEEE Transactions on Geoscience and Remote Sensing, issue.5, pp.461301-1312, 2008.

C. Thomas and L. Et-wald, A mtf based distance for the assessmentofgeometricalqualityoffusedproducts, InProceedings, vol.06, pp.1-7, 2006.

M. Unser, A. Aldroubi, and M. Et-eden, Polynomial spline signal approximations: filter design and asymptotic equivalence with Shannon's sampling theorem, IEEE Transactions on Information Theory, vol.38, issue.1, pp.95-103, 1992.
DOI : 10.1109/18.108253

F. Viallefont-robinetetléger-]-viallefont-robinet and D. Etléger, Improvement of the edge method for on-orbit MTF measurement, Optics Express, vol.18, issue.4, pp.3531-3545, 2010.
DOI : 10.1364/OE.18.003531

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

L. Wald, Qualityofhigh resolutionsynthesisedimages: is there a simple criterion? In SEE/URISCA, éditeur : the third conference "Fusion of Earth data: merging point measurements, raster maps and remotely sensed images, pp.99-103, 0200.

L. Wald, Data Fusion: Definitions and Architectures. Fusion of Images of Different Spatial Resolutions, Numéro, vol.2, 2002.
URL : https://hal.archives-ouvertes.fr/hal-00464703

L. Wald, T. Ranchin, and M. Etmangolini, Fusionofsatellite images of different spatial resolutions: Assessing the quality of resultingimages, pp.691-699, 1997.

Z. Wang, D. Ziou, C. Armenakis, D. Li, and Q. Li, A comparativeanalysisofimagefusionmethods, IEEETransactions onGeoscienceandRemoteSensing, issue.6, pp.431391-1402, 2005.

P. Welch, The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms, IEEE Transactions on Audio and Electroacoustics, vol.15, issue.2, pp.70-73, 1967.
DOI : 10.1109/TAU.1967.1161901

]. Pecht and O. , Geometrical modulation transfer function for different pixel active area shapes, Optical Engineering, vol.39, issue.4, pp.859-865, 2000.
DOI : 10.1117/1.602462