Random noise attenuation using a structure-oriented adaptive singular value decomposition
Sign Up to like & getrecommendations! Published in 2019 at "Acta Geophysica"
DOI: 10.1007/s11600-019-00301-6
Abstract: AbstractSingular value decomposition (SVD) is an efficient method to suppress random noise in seismic data. The performance of noise attenuation is typically affected by choosing the rank of the estimated signal using SVD. That the… read more here.
Keywords: random noise; noise attenuation; value; structure oriented ... See more keywords
Random noise attenuation by Wiener-ANFIS filtering
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Applied Geophysics"
DOI: 10.1016/j.jappgeo.2018.05.017
Abstract: Abstract This paper introduces a method for background random noise attenuation in seismic reflection data giving priority to the preservation of coherent seismic events and automation of the algorithm. Since the statistical characteristics of random… read more here.
Keywords: wiener; noise attenuation; random noise; input data ... See more keywords
Seismic noise attenuation via convolution neural network with learningnoise prior
Sign Up to like & getrecommendations! Published in 2021 at "Exploration Geophysics"
DOI: 10.1080/08123985.2021.1886853
Abstract: The presence of noise degrades the quality of seismic data and makes the subsequent processing tasks and interpretation more challenging. Therefore, seismic noise attenuation is a key step in the p... read more here.
Keywords: seismic noise; attenuation via; noise attenuation; via convolution ... See more keywords
Optimal distribution of active piezoelectric elements for noise attenuation in sandwich panels
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Smart and Nano Materials"
DOI: 10.1080/19475411.2020.1829159
Abstract: ABSTRACT In this paper, a multiobjective optimization approach for obtaining the optimal distribution of surface-bonded piezoelectric sensors and actuators for noise attenuation in sandwich panels is presented. The noise attenuation is achieved by using negative… read more here.
Keywords: attenuation sandwich; noise attenuation; optimal distribution; attenuation ... See more keywords
Ring artifact and Poisson noise attenuation via volumetric multiscale nonlocal collaborative filtering of spatially correlated noise
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Synchrotron Radiation"
DOI: 10.1107/s1600577522002739
Abstract: Streaks and Poissonian noise in tomography data are attenuated using a new two-stage multiscale volumetric filtering framework where the degradations are modeled as correlated noise. The procedure is fully automatic, offers improved feature preservation, and… read more here.
Keywords: noise; noise attenuation; artifact poisson; ring artifact ... See more keywords
Residual Learning of Deep Convolutional Neural Network for Seismic Random Noise Attenuation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2895702
Abstract: Over the last decades, seismic random noise attenuation has been dominated by transform-based denoising methods over the last decades. However, these methods usually need to estimate the noise level and select an optimal transformation in… read more here.
Keywords: random noise; seismic random; noise attenuation; noise ... See more keywords
Unsupervised Deep Learning for Random Noise Attenuation of Seismic Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3057631
Abstract: Random noise attenuation is an essential step to improve the signal-to-noise ratio (SNR) of seismic data. Deep learning for seismic data denoising is dominated by supervised methods that require noise-free data as training targets. It… read more here.
Keywords: random noise; seismic data; deep learning; noise attenuation ... See more keywords
Seismic Random Noise Attenuation via Self-Supervised Transfer Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3146173
Abstract: Random noise attenuation is an important step in seismic data processing. Unfortunately, most conventional denoising methods heavily rely on specific prior knowledge and fine-tuning of the parameters. Therefore, they often fail to suppress random noise.… read more here.
Keywords: noise; random noise; noise attenuation; self supervised ... See more keywords
A Multispectral Denoising Framework for Seismic Random Noise Attenuation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3047633
Abstract: Random noise attenuation plays an important role in the seismic data processing. The global coherency among different spectral segments is often neglected in the traditional denoising methods, even though the seismic data are naturally broadband… read more here.
Keywords: random noise; noise attenuation; framework; random ... See more keywords
Ground Truth-Free 3-D Seismic Random Noise Attenuation via Deep Tensor Convolutional Neural Networks in the Time-Frequency Domain
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3149545
Abstract: The inherent challenge of 3-D seismic noise attenuation is determining how to uncover high-dimensional concise structures that only exist in true signals to eliminate random noise. The prevailing deep learning (DL) denoising methods have achieved… read more here.
Keywords: tensor; ground truth; random noise; ground ... 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