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.
Similarity-Informed Self-Learning and Its Application on Seismic Image Denoising.IEEE Transactions on Geoscience and Remote Sensing, 60:1–13
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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.