2 papers
physics.geo-ph2026
Deploying Self-Supervised Learning for Real Seismic Data Denoising
Giovanny A. M. Arboleda, Claudio D. T. de Souza, Carlos E. M. dos Anjos +6
Self-supervised learning (SSL) has emerged as a promising approach to seismic data denoising as it does not require clean reference data. In this work, the deployment of the Noisy-…
physics.geo-ph2024
A Real Benchmark Swell Noise Dataset for Performing Seismic Data Denoising via Deep Learning
Pablo M. Barros, Roosevelt de L. Sardinha, Giovanny A. M. Arboleda +6
The recent development of deep learning (DL) methods for computer vision has been driven by the creation of open benchmark datasets on which new algorithms can be tested and compar…