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118 5. Application : Restoration of Aqua MODIS Band 6 Reflectance 0.7 0.6 0.5 0.4 0.3 0.2 Land Ice over land Sea ice Coastal waters Deep ocean Cloud Reflectance 0.7 0.6 0.5 0.4 0.3 0.2 Ice 1 Ice 2 Ice 3 Ice 4 Ice 5 0.1 0.1 0 3 4 5 6 7 MODIS Spectral band 0 3 4 5 6 7 MODIS Spectral band Figure 5.4 – Illustration of spectral similarity (Left) Reflectance spectrum of pixels selected over areas of different geophysical nature (Right) Reflectance spectrum of pixels all selected over a homogeneous snow-covered area band 6. For example, the EDM of two pixels x and y is given by : ∑ EDM(x, y) = √ 7 (ρ i (x) − ρ i (y)) 2 (5.16) i=3,i≠6 Additionally, for a missing pixel x from band 6, we <strong>de</strong>fine its spectral neighborhood as : S(x) ={y ∈ Ω|SSM(x, y)
119 Figure 5.5 – Restoration of Terra Modis Band 6 with synthetic non functional <strong>de</strong>tectors. From left to right : Original image (Alaska), restored with local interpolation, restored with gobal interpolation and restored with spectral inpainting. Striping is a clear indication of poor estimation of missing pixels value Figure 5.6 – From left to right : Original image (Labrador), restored with local interpolation, restored with gobal interpolation and restored with spectral inpainting. Figure 5.7 – From left to right : Original image (Siberia), restored with local interpolation, restored with gobal interpolation and restored with spectral inpainting. 5.4 Experimental results 5.4.1 Validation of spectral inpainting using NDSI measurements Three Terra MODIS images have been selected to evaluate the restoration of Aqua MODIS band 6 obtained with [L. L. Wang and Nianzeng], [Rakwatin et al.] and the pro-
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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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38 2. Remote Sensing with MODIS
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40 3. Standard destriping technique
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