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.
A Self-Supervised One-Shot Learning Approach for Seismic Noise Reduction.Applied Sciences, 14(21):9721, January 2024
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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.