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128 Conclusion
129 Bibliographie R. Acar and C. R. Vogel. Analysis of bounded variation penalty methods for ill-posed problems. In Inverse Problems, pages 1217–1229, 1994. J. Aiken, G. Moore, C. Trees, S. Hooker, and D. Clark. The seawifs czcs-type pigment algorithm. In SeaWiFS technical report series, page 29, 1995. L. Alvarez, P. L. Lions, and J. M. Morel. Image selective smoothing and edge detection by nonlinear diffusion. ii. SIAM J. Numer. Anal., 29 :845–866, 1992. P. Antonelli, M. di Bisceglie, R. Episcopo, and C. Galdi. Destriping MODIS data using IFOV overlapping. 7(3) :4568–4571, 2004. J. F. Aujol, G. Aubert, L. Blanc-Féraud, and A. Chambolle. Image decomposition into a bounded variation component and an oscillating component. J. Math. Imaging Vis., 22 :71–88, 2005. A. Baccini, M. A. Friedl, C. E. Woodcock, R. Warbington, and L. Remer. Forest biomass estimation over regional scales using multisource data. J. Geophys. Res. Lett., 31(10) : L10501.1–L10501.4, 2004. P. Blomgren, T. F. Chan, P. Mulet, and C. Wong. Total variation image restoration : Numerical methods and extensions. In in Proc. IEEE ICIP, pages 384–387, 1997. Y. Boykov, O. Veksler, and R. Zabih. Fast approximate energy minimization via graph cuts. IEEE Trans. Pattern Anal. Mach. Intell., 23 :1222–1239, 2001. R. Bracewell. The fourier transform and its applications. In Mcgraw, 1986. A. Buades, B. Coll, and J. M. Morel. A review of image denoising algorithms, with a new one. Simul, 4 :490–530, 2005. F. Catté, P. L. Lions, J. M. Morel, and T. Coll. Image selective smoothing and edge detection by nonlinear diffusion. SIAM J. Numer. Anal., 29 :182–193, 1992.
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École Doctorale d’Informatique,
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5 Résumé Nou abordons dans cette
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8 TABLE DES MATIÈRES 3.5 Frequency
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10 TABLE DES MATIÈRES
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12 1. Introduction A common issue f
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14 1. Introduction
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16 2. Remote Sensing with MODIS In
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18 2. Remote Sensing with MODIS Fig
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24 2. Remote Sensing with MODIS any
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30 2. Remote Sensing with MODIS Mai
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38 2. Remote Sensing with MODIS
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40 3. Standard destriping technique
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Table 3.4 - Noise Reduction (NR), I
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74 4. A Variational approach for th
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76 4. A Variational approach for th
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