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Random noise reduction
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PreviousNext No AccessSEG Technical Program Expanded Abstracts 1984Random noise reductionAuthors: Luis L. CanalesLuis L. CanalesDigicon Geophysical Inc., Englandhttps://doi.org/10.1190/1.1894168 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1894168FiguresReferencesRelatedDetailsCited byDenoising of distributed acoustic sensing data using supervised deep learningLiuqing Yang, Sergey Fomel, Shoudong Wang, Xiaohong Chen, Wei Chen, Omar M. 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Sacchi1 August 2019Transform learning with group sparsity for random noise attenuationXiaojing Wang and Jianwei Ma1 August 2019A 3D methodology for residual and diffracted multiple attenuationMaiza Bekara, Lian Duan, and Mamdouh Salem1 August 2019Attenuation of random noise using denoising convolutional neural networksXu Si, Yijun Yuan, Tinghua Si, and Shiwen Gao7 August 2019 | Interpretation, Vol. 7, No. 3Non-Subsampled Shearlet Transform Based Seismic Data Denoising via Proximal Classifier with ConsistencyRobust Estimation of Multiple Local Dips via Multidirectional Component AnalysisIEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 5Simultaneous Inversion of Shallow Seismic Data for Imaging of Sulfurized Carbonates28 March 2019 | Minerals, Vol. 9, No. 4Computational efficient multidimensional singular spectrum analysis for prestack seismic data reconstructionJinkun Cheng, Mauricio Sacchi, and Jianjun Gao11 February 2019 | GEOPHYSICS, Vol. 84, No. 2Adaptive singular spectrum analysis for seismic denoising and interpolationHojjat Haghshenas Lari, Mostafa Naghizadeh, Mauricio D. Sacchi, and Ali Gholami12 February 2019 | GEOPHYSICS, Vol. 84, No. 2Contourlet Transform Based Seismic Signal Denoising via Multi-scale Information Distillation Network23 August 2019Unsupervised Seismic Random Noise Attenuation Based on Deep Convolutional Neural NetworkIEEE Access, Vol. 7A Sparse Deconvolution Method with L1-norm Regularization and Lateral Continuity ConstraintsJintao Liu, Zhewu Wang, Wuyang Yang, and Xiong Ma11 December 2018Denoising of Petroleum Seismic Exploration Based on Non-Subsampled Shearlet TransformYu Sang, Ping Guo, Shiguang Liu, Zhijun Song, and Dacheng Gao11 December 2018Denoising of pre‐stack seismic data using subspace estimation methods1 October 2018 | IET Signal Processing, Vol. 12, No. 8Spatial Prediction Filtering for Medical Ultrasound in Aberration and Random NoiseIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Vol. 65, No. 10A compound method for random noise attenuation11 September 2018 | Geophysical Prospecting, Vol. 66, No. 8Edge-preserving frequency-offset denoising of seismic dataJulián L. Gómez and Danilo R. Velis7 September 2018 | GEOPHYSICS, Vol. 83, No. 5A denoising framework for microseismic and reflection seismic data based on block matchingChao Zhang and Mirko van der Baan29 August 2018 | GEOPHYSICS, Vol. 83, No. 5Random noise attenuation based on residual learning of deep convolutional neural networkXu Si and Yijun Yuan27 August 2018Retracted: Attenuating seismic noise via incoherent dictionary learning25 April 2018 | Journal of Geophysics and Engineering, Vol. 15, No. 4Streaming orthogonal prediction filter in the t-x domain for random noise attenuationYang Liu and Bingxiu Li26 June 2018 | GEOPHYSICS, Vol. 83, No. 4Damped Dreamlet Representation for Exploration Seismic Data Interpolation and DenoisingIEEE Transactions on Geoscience and Remote Sensing, Vol. 56, No. 6Sparse graph-regularized dictionary learning for suppressing random seismic noiseLina Liu, Jianwei Ma, and Gerlind Plonka19 April 2018 | GEOPHYSICS, Vol. 83, No. 3Common Reflection Surface Stack Imaging of the Proterozoic Chambal Valley Vindhyan Basin and Its Boundary Fault in the Northwest India: Constraints on Crustal Evolution and Basin Formation15 May 2018 | Tectonics, Vol. 37, No. 5Prestack structurally constrained impedance inversionHaitham Hamid, Adam Pidlisecky, and Larry Lines10 January 2018 | GEOPHYSICS, Vol. 83, No. 2BIBLIOGRAPHY8 June 2018References14 March 2018Random noise attenuation by planar mathematical morphological filteringWeilin Huang and Runqiu Wang29 November 2017 | GEOPHYSICS, Vol. 83, No. 1Random noise attenuation in 3D seismic data by iterative block tensor singular value thresholdingSeismic Random Noise Attenuation Using Synchrosqueezed Wavelet Transform and Low-Rank Signal Matrix ApproximationIEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 11References14 September 2017Noise attenuation in a low-dimensional manifoldSiwei Yu, Stanley Osher, Jianwei Ma, and Zuoqiang Shi24 July 2017 | GEOPHYSICS, Vol. 82, No. 5Signal leakage in f-x deconvolution algorithmsNecati Gülünay25 August 2017 | GEOPHYSICS, Vol. 82, No. 5Spatial prediction filtering for increased penetration depth in synthetic aperture ultrasoundStreaming orthogonal prediction filter in t-x domain for random noise attenuationBingxiu Li, Yang Liu, and Cai Liu17 August 2017Laterally-constrained sparse deconvolution in the mixed domainWei Wang, Guofa Li, Yumin Zhao, Wuyang Yang, and Wanli Wang17 August 2017Seismic data denoising based on online dictionary learning algorithmXin Tian, Kai Zhang, and Zhenchun Li17 August 2017Incoherent noise attenuation via randomized CP decompositionWenlei Gao and Mauricio Sacchi17 August 2017AVO and Seismic Inversion II Complete Session17 August 2017Retracted: Application of variational mode decomposition to seismic random noise reduction13 June 2017 | Journal of Geophysics and Engineering, Vol. 14, No. 4Double Least-Squares Projections Method for Signal EstimationIEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 7Shaped multichannel singular spectrum analysis for random noise attenuationZhao Qiang, Du Qizhen*, and Gong Xufei31 May 2017A method of combining coherence-constrained sparse coding and dictionary learning for denoisingPierre Turquais, Endrias G. Asgedom, and Walter Söllner27 February 2017 | GEOPHYSICS, Vol. 82, No. 3Robust f - x projection filtering for simultaneous random and erratic seismic noise attenuation25 August 2016 | Geophysical Prospecting, Vol. 65, No. 3Signal extraction using randomized-order multichannel singular spectrum analysisWeilin Huang, Runqiu Wang, Yimin Yuan, Shuwei Gan, and Yangkang Chen28 December 2016 | GEOPHYSICS, Vol. 82, No. 2Singular spectrum analysis and its applications in mapping mantle seismic structure19 December 2016 | Geophysical Journal International, Vol. 208, No. 3An Efficient Undersampled High-Resolution Radon Transform for Exploration Seismic Data ProcessingIEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 2Spatial Prediction Filtering of Acoustic Clutter and Random Noise in Medical Ultrasound ImagingIEEE Transactions on Medical Imaging, Vol. 36, No. 2References31 August 2017A simple method inspired by empirical mode decomposition for denoising seismic dataJulián L. 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Velis7 September 2016 | GEOPHYSICS, Vol. 81, No. 6A multichannel convolution filter for correlated data and September rank selection for singular spectrum analysis via Chen, Wei Chen, Shaohuan Zu, Weilin Huang, and Zhang1 September noise suppression in seismic data Li, Chen, and September of noise in marine streamer data via and September of seismic data based on method and September analysis for using Wang, Yang Liu, Cai Liu, and September frequency-offset for seismic data and Danilo September Noise Attenuation Complete September Estimation Complete September multichannel singular spectrum analysis for 3D random noise Huang, Runqiu Wang, Yangkang Chen, Li, and Shuwei May 2016 | GEOPHYSICS, Vol. 81, No. data-driven tight frame for seismic data Yu, Jianwei Ma, and Stanley June 2016 | GEOPHYSICS, Vol. 81, No. filtering using transform and adaptive empirical mode decomposition based April 2016 | Geophysical Journal International, Vol. No. of seismic attenuation and prediction of from and a study from the May 2016 | Journal of Geosciences, Vol. 9, No. time-frequency representation for seismic noise reduction using and sparse and March 2016 | GEOPHYSICS, Vol. 81, No. ground-penetrating radar on A of different and their for and January 2016 | GEOPHYSICS, Vol. 81, No. of simultaneous using a median filter in the Geosciences, Vol. Noise and Resolution of Seismic Data Using Geoscience and Remote Sensing Letters, Vol. No. random noise attenuation using shearlet and December | Journal of Geophysics and Engineering, Vol. 12, No. noise attenuation using local and Sergey March | GEOPHYSICS, Vol. No. and noise separation in prestack seismic data using Liu, Sergey Fomel, and Cai September | GEOPHYSICS, Vol. No. and seismic denoising via ensemble empirical mode decomposition and adaptive and Mirko van der August | GEOPHYSICS, Vol. No. in surface microseismic May | GEOPHYSICS, Vol. No. data denoising through and dictionary Liu, and James August | GEOPHYSICS, Vol. No. simultaneous random erratic noise attenuation and interpolation for seismic data by and sparse and David October | GEOPHYSICS, Vol. No. With Multiple Constraints Based on Geoscience and Remote Sensing Letters, Vol. 12, No. attenuation using - the Shuwei Gan, and August mode decomposition based in the Zhang, Shuwei Gan, and August data denoising based on sparse and Wang, and August of surface — August multichannel singular spectrum analysis for 3D random noise Huang, Runqiu Wang, Zhang, and Yangkang August learning for Endrias G. Asgedom, Walter and August Using Gaussian and August study on the and of the noise in Yue Li, Ning Wu, and June | GEOPHYSICS, Vol. No. of decomposition using non-stationary to random noise February | Journal of Geophysics and Engineering, Vol. 12, No. impedance inversion with sparsity Yuan, Wang, and January | GEOPHYSICS, Vol. No. 2Random noise attenuation by a using f - x empirical mode December | Journal of Geophysics and Engineering, Vol. 12, No. filtering for erratic seismic noise and Mauricio D. Sacchi1 December | GEOPHYSICS, Vol. No. of and Data an February | and Vol. No. on Reflection Seismic December | Acta - Vol. 88, No. for Seismic Random Noise AttenuationIEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No. deblending of seismic data using shaping Chen, Sergey Fomel, and August | GEOPHYSICS, Vol. No. 5Random noise attenuation by a using f-x empirical mode Chen, Shuwei Gan, Liu, Yuan, Zhang, and August velocity analysis method based on Wang, Yang Liu, and Cai August of noise in marine towed streamer data with the August noise attenuation using local and Sergey August f-x projection robust to erratic and Mauricio D. August noise attenuation by f-x decomposition predictive and March | GEOPHYSICS, Vol. No. data decomposition using nonstationary October | GEOPHYSICS, Vol. No. noise attenuation by f-x empirical mode decomposition predictive and August of in for seismic and Yue August