Noisy-as-Clean SSL denoises real seismic data effectively when injected noise matches actual noise statistics, providing a practical alternative to supervised methods that require clean references.
Trace-wise coherent noise suppression via a self-supervised blind-trace deep-learning scheme.Geophysics, 88(6):V459–V472, November 2023
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Deploying Self-Supervised Learning for Real Seismic Data Denoising
Noisy-as-Clean SSL denoises real seismic data effectively when injected noise matches actual noise statistics, providing a practical alternative to supervised methods that require clean references.