Table 5.

Training data distribution for the multilabel classifier (MC). This table has the same structure as Table 4, with each cell’s value (in thousands of samples) representing the total number of noisy spectra generated for that atmospheric configuration.

SNR000100010001110101011111Airless
130060606057.657.657.676.8100
330060606057.657.657.676.8100
630024242438.438.438.446.08100
1030024242438.438.438.446.08100
030060606096969676.8100
SNR000100010001110101011111Airless
130060606057.657.657.676.8100
330060606057.657.657.676.8100
630024242438.438.438.446.08100
1030024242438.438.438.446.08100
030060606096969676.8100
Table 5.

Training data distribution for the multilabel classifier (MC). This table has the same structure as Table 4, with each cell’s value (in thousands of samples) representing the total number of noisy spectra generated for that atmospheric configuration.

SNR000100010001110101011111Airless
130060606057.657.657.676.8100
330060606057.657.657.676.8100
630024242438.438.438.446.08100
1030024242438.438.438.446.08100
030060606096969676.8100
SNR000100010001110101011111Airless
130060606057.657.657.676.8100
330060606057.657.657.676.8100
630024242438.438.438.446.08100
1030024242438.438.438.446.08100
030060606096969676.8100
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