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High-Order Directional Total Variation for Seismic Noise Attenuation
IEEE Transactions on Geoscience and Remote Sensing, 2022High-amplitude noise could interfere with useful seismic signals, affecting our ability in processing and interpreting seismic data. Thus, attenuating seismic noise is an important task in seismic processing.
Xingye Liu +5 more
semanticscholar +1 more source
Seismic noise attenuation by signal reconstruction: an unsupervised machine learning approach
Geophysical Prospecting, 2021Random noise attenuation is an essential step in seismic data processing for improving seismic data quality and signal‐to‐noise ratio. We adopt an unsupervised machine learning approach to attenuate random noise via signal reconstruction strategy.
Yang Gao, Pingqi Zhao, Guofa Li, Hao Li
semanticscholar +1 more source
Journal of Geophysical Research: Solid Earth, 2020
We utilize an array method called the frequency‐Bessel transformation method to extract the multimodal dispersion curves of Rayleigh waves from ambient seismic noise data recorded by the USArray Transportable Array.
Gaoxiong Wu +3 more
semanticscholar +1 more source
We utilize an array method called the frequency‐Bessel transformation method to extract the multimodal dispersion curves of Rayleigh waves from ambient seismic noise data recorded by the USArray Transportable Array.
Gaoxiong Wu +3 more
semanticscholar +1 more source
Using Seismic Noise Levels to Monitor Social Isolation: An Example From Rio de Janeiro, Brazil
Geophysical Research Letters, 2020Decrease of seismic noise level, after reduction of traffic due to the COVID‐19 pandemic, has been observed worldwide. The possibility of using seismic noise as another proxy to estimate social isolation was tested with a station within Rio de Janeiro ...
Fábio L. Dias +5 more
semanticscholar +1 more source
Deep Residual Encoder–Decoder Networks for Desert Seismic Noise Suppression
IEEE Geoscience and Remote Sensing Letters, 2020The convolutional neural network (CNN) has achieved excellent performance in many fields, which has attracted much attention. CNN is a kind of feedforward neural network with convolution computation and depth structure.
Haitao Ma +3 more
semanticscholar +1 more source
Deep Clustering to Identify Sources of Urban Seismic Noise in Long Beach, California
, 2020Ambient seismic noise consists of emergent and impulsive signals generated by natural and anthropogenic sources. Developing techniques to identify specific cultural noise signals will benefit studies performing seismic imaging from continuous records ...
Dylan Snover +3 more
semanticscholar +1 more source