DAS-N2N: machine learning distributed acoustic sensing (DAS) signal denoising without clean data
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 […]