Denoising of multidimensional seismic data in the physical domain by a new non-local self similarity method
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-022-00908-2.pdf
Reference47 articles.
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3. Anvari R, Mohammadi M, Kahoo AR (2018) Enhancing 3-D seismic data using the t-SVD and optimal shrinkage of singular value. IEEE J Sel Top Appl Earth Obs Remote Sens 12(1):382–388
4. Anvari R, Kahoo AR, Mohammadi M, Khan NA, Chen Y (2019) Seismic random noise attenuation using sparse low-rank estimation of the signal in the time–frequency domain. IEEE J Sel Top Appl Earth Obs Remote Sens 12(5):1612–1618
5. Anvari R, Mohammadi M, Kahoo AR, Khan NA, Abdullah AI (2020) Random noise attenuation of 2D seismic data based on sparse low-rank estimation of the seismic signal. Comput Geosci 135:104376
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