| [1] |
张军华, 吕宁, 田连玉, 等. 地震资料去噪方法、技术综合评述[J]. 地球物理学进展, 2005, 20(4):1083-1091.
Google Scholar
|
| [2] |
Zhang J H, Lyu N, Tian L Y, et al. An overview of the methods and techniques for seismic data noise attenuation[J]. Progress in Geophysics, 2005, 20(4):1083-1091.
Google Scholar
|
| [3] |
杨会. 基于Curvelet变换的地震资料噪声压制研究[D]. 南昌: 东华理工大学, 2018.
Google Scholar
|
| [4] |
Yang H. Research on noise suppression of seismic data based on curvelet transform[D]. Nanchang: East China University of Technology, 2018.
Google Scholar
|
| [5] |
Deighan A J, Watts D R. Ground-roll suppressing using the wavelet transform[J]. Geophysics, 1997, 62(6): 1896-1903.
Google Scholar
|
| [6] |
高静怀, 毛剑, 满蔚仕, 等. 叠前地震资料噪声衰减的小波域方法研究[J]. 地球物理学报, 2006, 49(4):1155-1163.
Google Scholar
|
| [7] |
Gao J H, Mao J, Man W S, et al. On the denoising method of prestack seismic data in wavelet domain[J]. Chinese Journal of Geophysics, 2006, 49(4):1155-1163.
Google Scholar
|
| [8] |
Mallat S G. A theory for multiresolution signal decomposition:The wavelet representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1989, 11(7):674-693.
Google Scholar
|
| [9] |
Candes E J, Donoho D L. Curvelets—A surprisingly effective nonadaptive representation for objects with edges[J]. Computer Science, 2000:1-10.
Google Scholar
|
| [10] |
Candes E, Demanet L, Donoho D L, et al. New tight frames of curvelets and optimal representations of objects with piecewise C2 singularities[J]. Communications on Pure & Applied Mathematics, 2010, 57(2):219-266.
Google Scholar
|
| [11] |
Candes E J, Donoho D L. Continuous curvelet transform:I.Resolution of the wavefront set[J]. Applied & Computational Harmonic Analysis, 2005, 19(2):162-197.
Google Scholar
|
| [12] |
Candes E J, Donoho D L, et al. Fast discrete Curvelet transforms[J]. Multiscale Modeling & Simulation, 2006, 5(3):861-899.
Google Scholar
|
| [13] |
徐卫, 张华, 张落毅. 基于复值曲波变换的地震数据重建方法[J]. 物探与化探, 2016, 40(4):750-756.
Google Scholar
|
| [14] |
Xu W, Zhang H, Zhang L Y. A study of seismic data reconstruction based on complex-valued curvelet transform[J]. Geophysical and Geochemical Exploration, 2016, 40(4):750-756.
Google Scholar
|
| [15] |
温睿, 刘国昌, 冉扬. 压缩感知地震数据重建中的三个关键因素分析[J]. 石油地球物理勘探, 2018, 53(4):682-693.
Google Scholar
|
| [16] |
Wen R, Liu G C, Ran Y. Three key factors in seismic data reconstruction based on compressive sensing[J]. Oil Geophysical Prospecting, 2018, 53(4):682-693.
Google Scholar
|
| [17] |
王汉闯, 陶春辉, 陈生昌, 等. 基于稀疏约束的地震数据高效采集方法理论研究[J]. 地球物理学报, 2016, 59(11):4246-4265.
Google Scholar
|
| [18] |
Wang H C, Tao C H, Chen S C, et al. Study on highly efficient seismic data acquisition method and theory based on sparsity constraint[J]. Chinese Journal of Geophysics, 2016, 59(11):4246-4265.
Google Scholar
|
| [19] |
白兰淑, 刘伊克, 卢回忆, 等. 基于压缩感知的Curvelet域联合迭代地震数据重建[J]. 地球物理学报, 2014, 57(9):2937-2945.
Google Scholar
|
| [20] |
Bai L S, Liu Y K, Lu H Y, et al. Curvelet-domain joint iterative seismic data reconstruction based on compressed sensing[J]. Chinese Journal of Geophysics, 2014, 57(9):2937-2945.
Google Scholar
|
| [21] |
薛永安, 王勇, 李红彩, 等. 改进的曲波变换及全变差联合去噪技术[J]. 物探与化探, 2014, 38(1):81-86.
Google Scholar
|
| [22] |
Xue Y A, Wang Y, Li H C, et al. An improved random attenuation method based on curvelet transform and total variation[J]. Geophysical and Geochemical Exploration, 2014, 38(1):81-86.
Google Scholar
|
| [23] |
孙成禹, 刁俊才, 李文静. 基于曲波噪声估计的三维块匹配地震资料去噪[J]. 石油地球物理勘探, 2019, 54(6):1188-1194.
Google Scholar
|
| [24] |
Sun C Y, Diao J C, Li W J. 3D Block matching seismic data denoising based on Curvelet noise estimation[J]. Oil Geophysical Prospecting, 2019, 54(6):1188-1194.
Google Scholar
|
| [25] |
张华, 刁塑, 温建亮, 等. 应用二维非均匀曲波变换压制地震随机噪声[J]. 石油地球物理勘探, 2019, 54(1):16-23.
Google Scholar
|
| [26] |
Zhang H, Diao S, Wen J L, et al. A random noise suppression with 2D non-uniform curvelet transform[J]. Oil Geophysical Prospecting, 2019, 54(1):16-23.
Google Scholar
|
| [27] |
郑静静, 印兴耀, 张广智, 等. 基于第二代Curvelet变换的面波压制[J]. 应用地球物理, 2010, 7(4):325-335.
Google Scholar
|
| [28] |
Zheng J J, Yin X Y, Zhang G Z, et al. The surface wave suppression using the second generation curvelet tracsform[J]. Applied Geophysics, 2010, 7(4):325-335.
Google Scholar
|
| [29] |
李继伟, 刘晓兵, 周俊骅, 等. 基于能量比的Curvelet阈值迭代面波压制[J]. 石油地球物理勘探, 2019, 54(5):997-1004.
Google Scholar
|
| [30] |
Li J W, Liu X B, Zhou J H, et al. A Curvelet threshold iteration method based on energy ratio for surface-wave suppression[J]. Oil Geophysical Prospecting, 2019, 54(5):997-1004.
Google Scholar
|
| [31] |
王常波, 田坤, 刘立彬, 等. 基于地震子波支撑和Curvelet域稀疏约束的面波衰减方法[J]. 地球物理学进展, 2020, 35(1):181-187.
Google Scholar
|
| [32] |
Wang C B, Tian K, Liu L B, et al. Ground-roll attenuation method based on the seismic wavelet supported and sparse constraint in Curvelet domain[J]. Progress in Geophysics, 2020, 35(1):181-187.
Google Scholar
|
| [33] |
Donoho D L, Johnstone I M. Ideal spacial adaptation by wavelet shrinkage[J]. Biometrica, 1994, 81(3):425-455.
Google Scholar
|