most citedDAS-N2N: Machine learning Distributed Acoustic Sensing (DAS) signal denoising without clean data

58 citations · 58 across the 1 of their papers we have counts for

collaborators

1 paper

physics.geo-ph2023★ 58 cited

DAS-N2N: Machine learning Distributed Acoustic Sensing (DAS) signal denoising without clean data

Sacha Lapins, Antony Butcher, J. -Michael Kendall +5

This article presents a weakly supervised machine learning method, which we call DAS-N2N, for suppressing strong random noise in distributed acoustic sensing (DAS) recordings. DAS-…