$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

Patch classification based EPLL with mixed GMM for nonstationary seismic random noise attenuation

Journal of applied geophysics, v.174, 2020년, pp.103955 -   

Xi, Haoran (Corresponding author.) ,  Lin, Hongbo ,  Zhang, Dandan ,  Li, Yue

Abstract AI-Helper 아이콘AI-Helper

Abstract We propose an expected patch log likelihood (EPLL) based denoising method for nonstationary seismic random noise which has spatiotemporally varying variance, by incorporating the patch classification and mixed Gaussian mixture model (GMM), named PC-EPLL. In this method, the overlapping pat...

주제어

참고문헌 (58)

  1. J. Appl. Geophys. Amani 136 353 2017 10.1016/j.jappgeo.2016.11.014 Seismic random noise attenuation via 3D block matching 

  2. IEEE Trans. Geosci. Remote Sens. Anvari 55 11 6574 2017 10.1109/TGRS.2017.2730228 Seismic random noise attenuation using synchrosqueezed wavelet transform and low-rank signal matrix approximation 

  3. Geophysics Bekara 72 2 V59 2007 10.1190/1.2435967 Local singular value decomposition for signal enhancement of seismic data 

  4. Geophysics Bekara 74 5 V89 2009 10.1190/1.3157244 Random and coherent noise attenuation by empirical mode decomposition 

  5. Publ. Am. Stat. Assoc. Bishop 103 482 430 2006 Pattern recognition and machine learning 

  6. Geophysics Bonar 77 1 A5 2012 10.1190/geo2011-0235.1 Denoising seismic data using the nonlocal means algorithm 

  7. Int. Conf. Comput. Vision Pattern Recog., San Diego, USA Buades 2 60 2005 A non-local algorithm for image denoising 

  8. Appl. Comput. Harmon. Anal. Cai 37 1 89 2014 10.1016/j.acha.2013.10.001 Data-driven tight frame construction and image denoising 

  9. Geophys. J. Int. Chen 209 1 21 2017 10.1093/gji/ggw492 Fast dictionary learning for noise attenuation of multidimensional seismic data 

  10. Geophysics Chen 80 6 WD1 2015 10.1190/geo2014-0227.1 Random noise attenuation using local signal-and-noise orthogonalization 

  11. Geophysics Chen 83 1 A27 2018 10.1190/geo2017-0554.1 EMD-seislet transform 

  12. Geophys. J. Int. Chen 206 1695 2016 10.1093/gji/ggw230 Simultaneous denoising and reconstruction of 5-D seismic data via damped rank-reduction method 

  13. IEEE Trans. Image Process. Dabov 16 8 2080 2007 10.1109/TIP.2007.901238 Image denoising by sparse 3-D transform-domain collaborative filtering 

  14. SIAM J. Imaging Sci. Deledalle 11 4 2568 2018 10.1137/18M116890X Image restoration with generalized Gaussian mixture model patch priors 

  15. Ann. Stat. Donoho 24 2 508 1996 10.1214/aos/1032894451 Density estimation by wavelet thresholding 

  16. IEEE Trans. Image Process. Elad 15 12 3736 2006 10.1109/TIP.2006.881969 Image denoising via sparse and redundant representations over learned dictionaries 

  17. J. Geophys. Eng. Gan 12 2 262 2015 10.1088/1742-2132/12/2/262 Structure-oriented singular value decomposition for random noise attenuation of seismic data 

  18. IEEE Trans. Image Process. Geman 4 7 932 1995 10.1109/83.392335 Nonlinear image recovery with half-quadratic regularization 

  19. J. Appl. Geophys. Gorszczyk 105 2 78 2014 10.1016/j.jappgeo.2014.03.009 Application of curvelet denoising to 2D and 3D seismic data-practical considerations 

  20. Gupta 2011 Theory and Use of the EM Algorithm 

  21. Geophysics Huang 81 4 V261 2016 10.1190/geo2015-0264.1 Damped multichannel singular spectrum analysis for 3d random noise attenuation 

  22. J. Appl. Geophys. Huo 144 151 2017 10.1016/j.jappgeo.2017.05.012 Iterative dip-steering median filter 

  23. J. Appl. Geophys. Jia 133 132 2016 10.1016/j.jappgeo.2016.08.001 Suppressing non-stationary random noise in microseismic data by using ensemble empirical mode decomposition and permutation entropy 

  24. Geophysics Lari 84 2 V133 2019 10.1190/geo2018-0350.1 Adaptive singular spectrum analysis for seismic denoising and interpolation 

  25. Geophysics Liang 79 3 V65 2014 10.1190/geo2013-0252.1 Seismic data restoration via data-driven tight frame 

  26. IEEE Geosci. Remote Sens. Lett. Lin 11 1 337 2014 10.1109/LGRS.2013.2257674 Seismic random noise elimination by adaptive time-frequency peak filtering 

  27. J. Appl. Geophys. Lin 128 123 2016 10.1016/j.jappgeo.2016.03.013 Simultaneous seismic random noise attenuation and signal preservation by optimal spatiotemporal TFPF 

  28. J. Appl. Geophys. Liu 93 60 2013 10.1016/j.jappgeo.2013.03.007 Noncausal f-x-y regularized nonstationary prediction filtering for random noise attenuation on 3d seismic data 

  29. Geophysics Liu 71 5 V105 2006 10.1190/1.2236003 A 2D multistage median filter to reduce random seismic noise 

  30. Geophysics Liu 77 2 V61 2012 10.1190/geo2011-0117.1 Random noise attenuation using f-x regularized nonstationary autoregression 

  31. IEEE Geosci. Remote Sens. Lett. Liu 13 10 1462 2016 10.1109/LGRS.2016.2591939 One-step slope estimation for dealiased seismic data reconstruction via iterative seislet thresholding 

  32. J. Appl. Geophys. Liu 151 246 2018 10.1016/j.jappgeo.2018.02.016 Ground roll attenuation by synchrosqueezed curvelet transform 

  33. Luo 2450 2014 Acoustics, Speech and Signal Processing (ICASSP), IEEE International Conference on Image denoising by targeted external databases 

  34. IEEE Trans. Image Process. Luo 24 7 2167 2015 10.1109/TIP.2015.2414873 Adaptive image denoising by targeted databases 

  35. Proc. Natl Inst. Sci. India Mahalanobis 2 1 49 1936 On the generalized distance in statistics 

  36. Phys. A Stat. Mech. Appl. Oliveira 391 5 2106 2012 10.1016/j.physa.2011.04.009 Seismic denoising using curvelet analysis 

  37. IEEE Trans. Image Process. Papyan 25 1 249 2016 10.1109/TIP.2015.2499698 Multi-scale patch-based image restoration 

  38. J. Appl. Geophys. Reninger 75 2 264 2011 10.1016/j.jappgeo.2011.06.034 Singular value decomposition as a denoising tool for airborne time domain electromagnetic data 

  39. J. Appl. Geophys. Shan 69 2 103 2009 10.1016/j.jappgeo.2009.08.002 Comparisons of wavelets, contourlets and curvelets in seismic denoising 

  40. IEEE Trans. Image Process. Shibin 28 2 687 2019 10.1109/TIP.2018.2866691 Accelerating gmm-based patch priors for image restoration: three ingredients for a 100× speed-up 

  41. Signal Process. Siahsar 141 309 2017 10.1016/j.sigpro.2017.06.017 Simultaneous denoising and interpolation of 2D seismic data using data-driven non-negative dictionary learning 

  42. 10.1007/978-3-319-14612-6_8 Sulam, J., Elad, M., 2015. Expected patch log likelihood with a sparse prior, in International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition. Springer, Cham, 8942, pp. 99-111. 

  43. IEEE Trans. Geosci. Remote Sens. Tian 52 10 6449 2014 10.1109/TGRS.2013.2296603 Variable-eccentricity hyperbolic-trace TFPF for seismic random noise attenuation 

  44. Signal Process. To 89 2 144 2009 10.1016/j.sigpro.2008.07.023 Wavelet denoising techniques with applications to experimental geophysical data 

  45. Geophysics Turquais 82 3 V137 2017 10.1190/geo2016-0164.1 A method of combining coherence-constrained sparse coding and dictionary learning for denoising 

  46. IET Signal Process. Vargas 11 9 1069 2017 10.1049/iet-spr.2017.0061 Seismic trace noise reduction by wavelets and double threshold estimation 

  47. J. Appl. Geophys. Wang 109 256 2014 10.1016/j.jappgeo.2014.08.008 Dreamlet-based interpolation using POCS method 

  48. Geophys. J. Int. Wang 201 2 1182 2015 10.1093/gji/ggv072 Simultaneous seismic data interpolation and denoising with a new adaptive method based on dreamlet transform 

  49. IEEE Geosci. Remote Sens. Lett. Wu 8 5 874 2011 10.1109/LGRS.2011.2129552 Noise attenuation for 2-D seismic data by radial-trace time-frequency peak filtering 

  50. Acta Geol. Sin. (Engl. Ed.) Zhang 93 Suppl S1 298 2019 10.1111/1755-6724.14105 Seismic data denoising via shearlet transform and data-driven tight frame 

  51. Geophys. J. Int. Zhang 203 2 901 2015 10.1093/gji/ggv340 Signal preserving and seismic random noise attenuation by Hurst exponent based time-frequency peak filtering 

  52. Signal Process. Zhang 107327 2019 Analysis-synthesis dictionary pair learning and patch saliency measure for image fusion 

  53. Geophysics Zhong 80 4 V67 2015 10.1190/geo2014-0153.1 A study on the stationarity and Gaussianity of the background noise in land-seismic prospecting 

  54. Neurocomputing Zhou 367 130 2019 10.1016/j.neucom.2019.07.090 Multi-channel expected patch log likelihood for color image denoising 

  55. Geophysics Zhu 80 6 WD45 2015 10.1190/geo2015-0047.1 Seismic data denoising through multiscale and sparsity-promoting dictionary learning 

  56. Zoran 479 2011 International Conference on Computer Vision (ICCV) From learning models of natural image patches to whole image restoration 

  57. Zoran 1736 2012 In Advances in Neural Information Processing Systems Natural images, Gaussian mixtures and dead leaves 

  58. Geophysics Zu 84 3 V169 2019 10.1190/geo2018-0596.1 Dictionary learning based on dip patch selection training for random noise attenuation 

섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로