DAS-N2N: machine learning distributed acoustic sensing (DAS) signal denoising without clean data
<p>This paper presents a weakly supervised machine learning method, which we call DAS-N2N, for suppressing strong random noise in distributed acoustic sensing (DAS) recordings. DAS-N2N requires no manually produced labels (i.e. pre-determined examples of clean event signals or sections&nbs...
Main Authors: | , , , , , , , |
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Format: | Journal article |
Language: | English |
Published: |
Oxford University Press
2023
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