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
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
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
Spatial quality evaluation of fusion of different resolution images, Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci, vol.33, pp.2-2, 2000. ,
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
Assessment of the quality of fused products The Netherlands: Millpress, Proc. 24th EARSeL Symp, pp.317-325, 2004. ,
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
Multiresolution wavelet decomposition image merger of Landsat Thematic Mapper and SPOT panchromatic data, Photogramm. Eng. Remote Sens, vol.62, pp.1067-1074, 1996. ,
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
A comparative analysis of image fusion methods, IEEE Trans. Geosci. Remote Sens, vol.43, pp.81-84, 2005. ,
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. ,
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
Fusion d'images de résolutions spatiales différentes (Fusion of images of different spatial resolutions), 2006. ,
Géométrie multi-échelles pour les images et les textures, 2005. ,
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
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
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
MTF-tailored multiscale fusion of highresolution MS and Pan imagery, Photogrammetric Engineering & Remote Sensing, pp.72-591, 2006. ,