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Introduction to Denoising and Data Gap Filling of Seismic Reflection Data
2020Seismic data is a mixture of several wanted (reflections, refractions) and unwanted (ground roll, diffractions, airwave etc.) signals. Different wave fields recorded by the seismic receiver can be seen from Fig. 1.1. Separation of wanted signal from such unwanted noises is therefore fundamental in geophysical signal processing.
R. K. Tiwari, R. Rekapalli
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Application of improved AlexNet for seismic data denoising
International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 2023ji shangran +4 more
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Similarity-Informed Self-Learning and Its Application on Seismic Image Denoising
IEEE Transactions on Geoscience and Remote Sensing, 2022Naihao Liu +2 more
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An adaptive seismic signal denoising method based on variational mode decomposition
Measurement: Journal of the International Measurement Confederation, 2021Qiuzhan Zhou, Pingping Liu
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A denoising method of seismic data based on self-supervised learning
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2022Zhenbin Xia +4 more
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Study of Parameters in Dictionary Learning Method for Seismic Denoising
IEEE Transactions on Geoscience and Remote Sensing, 2022Lakshmi Kuruguntla +2 more
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Seismic data denoising by deep-residual networks
SEG Technical Program Expanded Abstracts 2018, 2018Yuchen Jin +4 more
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Poststack Seismic Data Denoising Based on 3-D Convolutional Neural Network
IEEE Transactions on Geoscience and Remote Sensing, 2020Dawei Liu, Xiaokai Wang, Wenchao Chen
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Application of Shallow Seismic Data Processing and Denoising
Open Journal of Natural Science, 2022openaire +1 more source
Seismic data inversion with curvelet denoising preconditioning
15th International Congress of the Brazilian Geophysical Society & EXPOGEF, Rio de Janeiro, Brazil, 31 July-3 August 2017, 2017V. M. Gomes +5 more
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