Random noise attenuation of sparker seismic oceanography data with machine learning
<p>Seismic oceanography (SO) acquires water column reflections using controlled source seismology and provides high lateral resolution that enables the tracking of the thermohaline structure of the oceans. Most SO studies obtain data using air guns, which can produce acoustic energy below 100&...
Main Authors: | H. Jun, H.-T. Jou, C.-H. Kim, S. H. Lee, H.-J. Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2020-11-01
|
Series: | Ocean Science |
Online Access: | https://os.copernicus.org/articles/16/1367/2020/os-16-1367-2020.pdf |
Similar Items
-
Field Test of a Low-Frequency Sparker Source for Acoustic Waveform Logging
by: Paillet, Frederick L.
Published: (2012) -
Proline as a Sparker Metabolite of Oxidative Metabolism during the Flight of the Bumblebee, <i>Bombus impatiens</i>
by: Nadia Stec, et al.
Published: (2021-08-01) -
Adaptive linear TFPF for seismic random noise attenuation
by: Juan Li, et al.
Published: (2018-02-01) -
Advances in oceanography /
by: Charnock, H., et al.
Published: (1978) -
Expand Dimensional of Seismic Data and Random Noise Attenuation Using Low-Rank Estimation
by: Javad Mafakheri, et al.
Published: (2022-01-01)