2022
DOI: 10.1109/tgrs.2022.3197287
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Multidimensional Seismic Data Denoising Using Framelet-Based Order-p Tensor Deep Learning

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Cited by 5 publications
(4 citation statements)
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“…In Figure 1b, the highest errors are at traces located next to a noisy trace (marked with red circles). A similar performance can be seen in figure 3 from S. Liu et al (2022). We alleviate these issues by the method proposed in the following section.…”
Section: Blind-trace Denoisingsupporting
confidence: 65%
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“…In Figure 1b, the highest errors are at traces located next to a noisy trace (marked with red circles). A similar performance can be seen in figure 3 from S. Liu et al (2022). We alleviate these issues by the method proposed in the following section.…”
Section: Blind-trace Denoisingsupporting
confidence: 65%
“…Recent data-driven methods for noise attenuation include dictionary learning (e.g., Nazari Siahsar et al, 2017;X. Wang & Ma, 2019;Zhou et al, 2020;Almadani et al, 2021;Sui et al, 2023), deep learning (e.g., Yu et al, 2019;Zhao et al, 2019;Zhu et al, 2019;Saad & Chen, 2020Wang, Yang, et al, 2022;Farmani et al, 2023;Markovic et al, n. d.) and hybrid methods (e.g., Farmani et al, 2022;Qian et al, 2022;L. Liu & Ma, 2023).…”
Section: Introductionmentioning
confidence: 99%
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