L. Bruzzone and P. Smits, Analysis of Multi-temporal Remote Sensing Images, 2001.

R. L. King and N. H. Younan, Proceedings of the Third International Workshop on the Analysis of Multi-temporal Remote Sensing Images, 2005.

P. Smits and L. Bruzzone, Analysis of Multi-temporal Remote Sensing Images, 2003.

G. P. Anderson, J. H. Chetwynd, J. Theriault, P. Acharya, A. Berk et al., MODTRAN2: suitability for remote sensing, Proceedings of SPIE -The International Society for Optical Engineering, pp.514-525, 1993.

H. Rahman and G. Dedieu, SMAC: a simplified method for the atmospheric correction of satellite measurements in the solar spectrum, International Journal of Remote Sensing, vol.928, issue.1, pp.123-143, 1994.
DOI : 10.1364/AO.29.001897

D. Tanre, Technical note Description of a computer code to simulate the satellite signal in the solar spectrum: the 5S code, International Journal of Remote Sensing, vol.53, issue.4, pp.659-668, 1990.
DOI : 10.1364/AO.20.003676

E. F. Vermote, D. Tanre, J. L. Deuze, M. Herman, and J. J. Morcrette, Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview, IEEE Transactions on Geoscience and Remote Sensing, vol.35, issue.3, pp.675-686, 1997.
DOI : 10.1109/36.581987

C. Jr and P. S. , Image-based atmospheric corrections -Revisited and improved, Photogrammetric Engineering and Remote Sensing, vol.62, pp.1025-1036, 1996.

C. Song, C. E. Woodcock, K. C. Seto, M. P. Lenney, and S. A. Macomber, Classification and Change Detection Using Landsat TM Data, Remote Sensing of Environment, vol.75, issue.2, pp.230-244, 2001.
DOI : 10.1016/S0034-4257(00)00169-3

P. M. Teillet and G. Fedosejevs, On the Dark Target Approach to Atmospheric Correction of Remotely Sensed Data, Canadian Journal of Remote Sensing, vol.51, issue.3, pp.374-387, 1995.
DOI : 10.1080/01431168808954987

Y. Du, P. M. Teillet, and J. Cihlar, Radiometric normalization of multitemporal high-resolution satellite images with quality control for land cover change detection. Remote Sensing of Environment, pp.123-134, 2002.

S. L. Furby and N. A. Campbell, Calibrating images from different dates to ???like-value??? digital counts, Remote Sensing of Environment, vol.77, issue.2, pp.186-196, 2001.
DOI : 10.1016/S0034-4257(01)00205-X

F. G. Hall, D. E. Strebel, J. E. Nickeson, and S. J. Goetz, Radiometric rectification: Toward a common radiometric response among multidate, multisensor images, Remote Sensing of Environment, vol.35, issue.1, pp.11-27, 1991.
DOI : 10.1016/0034-4257(91)90062-B

M. S. Moran, R. D. Jackson, P. N. Slater, and P. M. Teillet, Evaluation of simplified procedures for retrieval of land surface reflectance factors from satellite sensor output. Remote Sensing of Environment, pp.169-184, 1992.

C. Salvaggio, Radiometric scene normalization utilizing statistically invariant features, Proceedings of the workshop on atmospheric correction of Landsat imagery, pp.155-159, 1993.

J. Schott, Remote Sensing: The Image Chain Approach, 1997.

J. R. Schott, C. Salvaggio, and W. J. Volchok, Radiometric scene normalization using pseudoinvariant features. Remote Sensing of Environment, pp.1-16, 1988.
DOI : 10.1016/0034-4257(88)90116-2

C. D. Elvidge, Y. Ding, R. D. Weerackoon, and R. S. Lunetta, Relative radiometric normalization of Landsat multispectral scanner (MSS) data using an automatic scattergram-controlled regression Photogrammetric Engineering & Remote Sensing, pp.1255-1260, 1995.

D. Yuan and C. D. Elvidge, Comparison of relative radiometric normalization techniques, ISPRS Journal of Photogrammetry and Remote Sensing, vol.51, issue.3, pp.117-126, 1996.
DOI : 10.1016/0924-2716(96)00018-4

A. A. Nielsen, K. Conradsen, and J. J. Simpson, Multivariate Alteration Detection (MAD) and MAF Post-Processing in Multispectral, Bi-temporal Image Data: New Approaches to Change Detection Studies. Remote Sensing of Environment, pp.1-19, 1998.

A. A. Nielsen, The Regularized Iteratively Reweighted MAD Method for Change Detection in Multi- and Hyperspectral Data, IEEE Transactions on Image Processing, vol.16, issue.2, pp.463-478, 2007.
DOI : 10.1109/TIP.2006.888195

A. A. Nielsen and M. J. Canty, Multi- and hyperspectral remote sensing change detection with generalized difference images by the IR-MAD method, International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005., pp.169-173, 2005.
DOI : 10.1109/AMTRSI.2005.1469864

H. Deboissezon and A. Sand, Reference Remote Sensing Data Bases: Temporal series of calibrated and ortho-rectified satellite images for scientific use, Proceedings of Recent Advances in Quantitative Remote Sensing, 2006.

A. Meygret, SPOT absolute calibration : synthesis. CNES technical report, S5-NT-0-2880-CN, Ed2, rev 0, 2007.

E. P. Shettle and R. W. Fenn, Models for the Aerosols of the Lower Atmosphere and the Effects of Humidity Variation on their Optical Properties, 1979.

V. Lebourgeois, A. Begue, P. Degenne, and E. Bappel, Improving sugarcane harvest and planting monitoring for smallholders with geospatial technology: The Reunion Island experience, International Sugar Journal, vol.109, pp.109-117, 2007.

E. Hajj, M. Bégué, A. Guillaume, and S. , Multi-source information fusion: Monitoring sugarcane harvest using multi-temporal images, crop growth modelling, and expert knowledge, MULTITEMP-2007, Fourth International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, p.6, 2007.

A. Bégué, P. Degenne, A. Pellegrino, P. Todoroff, and F. Baillarin, Application of remote sensing technology to monitor sugar cane cutting and planting in Guadeloupe, Geomatica, pp.10-14, 2004.