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70 3. Standard <strong>de</strong>striping techniques and application to MODIS 13500 13500 Mean value 13000 12500 Mean value 13000 12500 12000 0 100 200 300 400 500 Line Number 12000 0 100 200 300 400 500 Line Number 13500 13500 Mean value 13000 12500 Mean value 13000 12500 12000 0 100 200 300 400 500 Line Number 12000 0 100 200 300 400 500 Line Number 13500 13500 Mean value 13000 12500 Mean value 13000 12500 12000 0 100 200 300 400 500 Line Number 12000 0 100 200 300 400 500 Line Number Figure 3.19 – Cross track profiles computed for (TL) Original image (TR) Moment matching (CL) Histogram matching (CR) IFOV method (BL) Frequency filtering (BL) Wavelet thresholding.
71 10 10 9 9 Power spectrum 8 7 6 5 4 Power spectrum 8 7 6 5 4 3 3 2 0 0.1 0.2 0.3 0.4 0.5 Normalized frequency 2 0 0.1 0.2 0.3 0.4 0.5 Normalized frequency 10 10 9 9 Power spectrum 8 7 6 5 4 Power spectrum 8 7 6 5 4 3 3 2 0 0.1 0.2 0.3 0.4 0.5 Normalized frequency 2 0 0.1 0.2 0.3 0.4 0.5 Normalized frequency 10 10 9 9 Power spectrum 8 7 6 5 4 Power spectrum 8 7 6 5 4 3 3 2 0 0.1 0.2 0.3 0.4 0.5 Normalized frequency 2 0 0.1 0.2 0.3 0.4 0.5 Normalized frequency Figure 3.20 – Ensemble averaged power spectrums downn the columns for (TL) Original image (TR) Moment matching (CL) Histogram matching (CR) IFOV method (BL) Frequency filtering (BR) Wavelet thresholding.
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École Doctorale d’Informatique,
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5 Résumé Nou abordons dans cette
Page 8 and 9:
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
Page 20 and 21: 20 2. Remote Sensing with MODIS Fig
Page 24 and 25: 24 2. Remote Sensing with MODIS any
Page 30 and 31: 30 2. Remote Sensing with MODIS Mai
Page 38 and 39: 38 2. Remote Sensing with MODIS
Page 40 and 41: 40 3. Standard destriping technique
Page 72 and 73: Table 3.4 - Noise Reduction (NR), I
Page 74 and 75: 74 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
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120 5. Application : Restoration of
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- Alaska Labrador Siberia Restorati
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128 Conclusion
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130 BIBLIOGRAPHIE A. Chambolle. An
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132 BIBLIOGRAPHIE E. Hochberg, S. A
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134 BIBLIOGRAPHIE P. Perona and J.
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