MoG-Based Robust Sparse Representation for Seismic Erratic Noise Suppression
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DOI: 10.1109/lgrs.2020.3022985
Abstract: By modeling the noise as Gaussian distribution, quite a lot of methods, such as basis pursuit denoising (BPDN), have demonstrated their great effectiveness in suppressing commonly random seismic noise. However, when it comes to complex… read more here.
Keywords: noise; sparse representation; robust sparse; distribution ... See more keywords
Unsupervised Seismic Erratic Noise Suppression Using Implicit Neural Representation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2025.3580648
Abstract: Seismic erratic noise, characterized by large isolated events following non-Gaussian distributions, significantly degrades seismic data quality by masking useful signals. Methods based on conventional priors remain essential but face inherent challenges as they struggle to… read more here.
Keywords: noise suppression; representation; erratic noise; seismic erratic ... See more keywords
Erratic Noise Attenuation Using Double Sparsity Dictionary Learning Method
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3164460
Abstract: In seismic data processing, attenuation of erratic noise is a challenging task due to the unknown noise distribution. Erratic noise consists of high amplitude peaks and conventional sparse transforms based on least-square (LS) approach that… read more here.
Keywords: double sparsity; noise; noise attenuation; method ... See more keywords
Attention-Based Neural Network for Erratic Noise Attenuation From Seismic Data With a Shuffled Noise Training Data Generation Strategy
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3197929
Abstract: The supervised neural network-based method provides an effective way for seismic data denoising. The noise level of seismic erratic noise, i.e., outlier, varies from traces, time windows, and shot gathers. The networks with popular structures… read more here.
Keywords: neural network; network; noise; strategy ... See more keywords
Joint-Guided Denoising Network for Erratic Noise Attenuation
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DOI: 10.1109/tgrs.2024.3430288
Abstract: In seismic exploration, erratic noise is a type of intense and complicated interference with large-amplitude and non-Gaussian distributions. The presence of erratic noise has been demonstrated to corrupt reflection events, adversely affecting the identification of… read more here.
Keywords: guided denoising; erratic noise; joint guided; denoising network ... See more keywords
Erratic noise suppression using iterative structure‐oriented space‐varying median filtering with sparsity constraint
Sign Up to like & getrecommendations! Published in 2020 at "Geophysical Prospecting"
DOI: 10.1111/1365-2478.13032
Abstract: ABSTRACT Erratic noise often has high amplitudes and a non‐Gaussian distribution. Least‐squares–based approaches therefore are not optimal. This can be handled better with non–least‐squares approaches, for example based on Huber norm which is computationally expensive.… read more here.
Keywords: erratic noise; least squares; median filtering; noise suppression ... See more keywords