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Does High Signal-to-Noise Ratio Identify Better Training Data for Seismic Deep Learning?
Hard signal-to-noise ratio (SNR) screening removes weak seismic records, but does retaining clearer waveforms improve learning enough to compensate for the discarded data? We test this question in phase picking and ambient-noise dispersion, first matching training counts and then restoring the full
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