Th`ese Marouan BOUALI - Sites personnels de TELECOM ParisTech

More documents

Recommendations

Info

134 BIBLIOGRAPHIE P. Perona and J. Malik. Scale-space and edge detection using anisotropic diffusion. IEEE Trans. Pattern Anal. Mach. Intell., 12 :629–639, 1990. D. J. Poros and C. J. Peterson. Methods for destriping landsat thematic mapper images - a feasibility study for an online destriping process in the thematic mapper image processing system (tips). Photogrammetric Engineering and Remote Sensing., 51 :1371–1378, 1985. P. Rakwatin, W. Takeuchi, and Y. Yoshifumi. P. Rakwatin, W. Takeushi, and Y. Yasuoka. Stripe Noise Reduction in Modis data by combining histogram matching with facet filter. 45(6) :1844–1856, 2007. R. W. Reynolds and T. M. Smith. Improved global sea surface temperature analyses using optimum interpolation. Journal of climate, 7(6) :929–948, 1994. J. W. Rouse, R. H. Haas, J. A. Schell, and D. W. Deering. Monitoring vegetation systems in the great plains with erts. In Proceedings of the Third ERTS Symposium, volume 1, pages 309–317, 1973. L. I. Rudin, S. Osher, and E. Fatemi. Nonlinear total variation based noise removal algorithms. Phys. D, 60 :259–268, 1992. V. V. Salomonson and I. Appel. H. F. Shen, T. H. Ai, and P. X. Li. Destriping and inpainting of remote sensing images using maximum a-posteriori method. In ISPRS 2008, volume 37, pages 63–70, 2008. C. Sheng, Y. Xin, Y. Liping, and S. Kun. Total variation-based speckle reduction using multi-grid algorithm for ultrasound images. In ICIAP, volume 3617, pages 245–252, 2005. J. J. Simpson, J. I. Gobat, and R. Frouin. Improved destriping of GOES images using finite impulse response filters. Remote. Sens. Environ., 52(1) :15–35, 1995. J. J. Simpson, J. R. Stitt, and D. M. Leath. Improved finite impulse response filters for enhanced destriping of geostationary satellite data. Remote. Sens. Environ., 66(3) :235– 249, 1998. D. S. Sloan and R. Orth. A self-contained landsat data reception and precision cartographic image poduction system. In Int. Symp. of Comm. III of the Int. Soc. for Photogrammetry, Graz, Austria, Oct. 1977. R. Srinivasan, M. Cannon, and J. White. Lansat data destriping using power filtering. Opt. Eng., 27(11) :939–943, 1988. F. Steinmetz, P. Deschamps, and D. Ramon. Atmospheric correction in presence of sun glint :application to meris. In 2nd MERIS-(A)ATSR workshop, Frascati, 2008. URL http://earth.esa.int/workshops/meris_aatsr2008/participants/75/ pres_75_Steinmetz.pdf.
135 W. M. Strome and S. S. Vishnubhatla. A sytem for improving the radiometric corrections for erts-1 mss data. In XXIV Int. Astronautical Congress, Baku, USSR, Oct. 1973. E. Tadmor, S. Nezzar, and L. Vese. A multiscale image representation using hierarchical (BV , L 2 ) decompositions. Multiscale Model. Simul., 2(4) :554–579, 2004. D. Tanre, Y. J. Kaufman, M. Herman, and S. Matoo. Remote sensing of aerosol properties over oceans using the modis/eos spectral radiances : Passive remote sensing of tropospheric aerosol and atmospheric corrections from the new generation of satellite sensors. J. Geophys. Res., 102(D14) :1697116988, 1997. J. Torres and S. O. Infante. Wavelet analysis for the elimination of striping noise in satellite images. Opt. Eng., 40(7) :13091314, 2001. L. Vese and S. Osher. Modeling textures with total variation minimization and oscillating patterns in image processing. Journal of Scientific Computing, 19 :553–572, 2002. M. Wang and S. W. Bailey. Correction of sun glint contamination on the seawifs ocean and atmosphere products. Appl. Opt., 40(27) :4790–4798, 2001. M. Wegener. Destriping multiple detector imagery by improved histogram matching. Int J. Remote Sens., 11(5) :859–875, 1990. M. P. Weinreb, R. Xie, J. H. Lienesch, and D. S. Crosby. Destriping GOES images by matching empirical distribution functions. Remote. Sens. Environ., 29(2) :185–195, 1989. Z. Wu and L. Li. A line-integration based method for depth recovery from surface normals. Comput. Vision Graph. Image Process., 43 :53–66, 1988. Z. Xiaoxiang, F. Tianxi, and H. Qian. Destripe multi-sensor imaging spectroradiometer data. In CGMS XXXII, 2004. CMA-WP 07, 2007. Z. Yang, J. Li, W. P. Menzel, and R. A. Frey. Destriping for modis data via wavelet shrinkage. In Applications with Weather Satellites, volume 4895, pages 187–199, 2003. L. P. Yaroslavsky and M. Eden. Texture synthesis by non-parametric sampling. In Fundamentals of Digital Optics, Birkhauser Boston, 1996.
Page 1:
École Doctorale d’Informatique,
Page 5:
5 Résumé Nou abordons dans cette
Page 8 and 9:
8 TABLE DES MATIÈRES 3.5 Frequency
Page 10 and 11:
10 TABLE DES MATIÈRES
Page 12 and 13:
12 1. Introduction A common issue f
Page 14 and 15:
14 1. Introduction
Page 16 and 17:
16 2. Remote Sensing with MODIS In
Page 18 and 19:
18 2. Remote Sensing with MODIS Fig
Page 20 and 21:
Page 22 and 23:
Page 24 and 25:
24 2. Remote Sensing with MODIS any
Page 26 and 27:
Page 28 and 29:
Page 30 and 31:
30 2. Remote Sensing with MODIS Mai
Page 32 and 33:
Page 34 and 35:
Page 36 and 37:
Page 38 and 39:
38 2. Remote Sensing with MODIS
Page 40 and 41:
40 3. Standard destriping technique
Page 42 and 43:
Page 44 and 45:
Page 46 and 47:
Page 48 and 49:
Page 50 and 51:
Page 52 and 53:
Page 54 and 55:
Page 56 and 57:
Page 58 and 59:
Page 60 and 61:
Page 62 and 63:
Page 64 and 65:
Page 66 and 67:
Page 68 and 69:
Page 70 and 71:
Page 72 and 73:
Table 3.4 - Noise Reduction (NR), I
Page 74 and 75:
74 4. A Variational approach for th
Page 76 and 77:
Page 78 and 79:
Page 80 and 81:
Page 82 and 83:
Page 84 and 85: 84 4. A Variational approach for th
Page 100 and 101: 100 4. A Variational approach for t
Page 112 and 113: 112 5. Application : Restoration of
Page 124 and 125: - Alaska Labrador Siberia Restorati
Page 128 and 129: 128 Conclusion
Page 130 and 131: 130 BIBLIOGRAPHIE A. Chambolle. An
Page 132 and 133: 132 BIBLIOGRAPHIE E. Hochberg, S. A
show all

Th`ese Marouan BOUALI - Sites personnels de TELECOM ParisTech

Create successful ePaper yourself

Delete template?

Save as template?