【摘要】 Radon变换在地震处理中有诸多应用,在地震同相轴识别和估计方面有良好效果。对最小平方意义下反演和基于贝叶斯原理的稀疏约束反演的Radon变换域结果进行了对比,后者的变换效果更好,收敛能量的分辨率高,即压制了离散运算中的截断效应。又通过加噪模型数据,对比了高分辨率Radon变换方法和Radon域内的二维蒙版滤波方法,两者压制规则干扰和随机噪声的效果较好并且结果相似,但后者计算效率较高。在实际数据处理中,比较了FK滤波、高分辨率线性和抛物线Radon变换,以及二维蒙版滤波方法的去噪效果和计算效率,选择二维蒙版滤波方法最优。更多还原

【Abstract】 Radon transform is widely used in the seismic processing,such as the events identification and estimation can be obtained a good result.By contrast the Radon domain data between the least squares inversion and the sparse constrained inversion which based on Bayesian principles,the latter is better and its convergence of the energy is with higher precision.And also the spatial truncation effect of the discrete calculation is suppressed.Through the analysis of model data with noise,compared high resolution Radon transform and 2D mask filter in Radon domain,both are better performing and have similar results,but the latter is more efficient.For the actual record,the denoising effect and computation efficiency of FK filtering,high resolution linear and parabolic Radon transform,2D mask filter methods were also compared,the result showed that the 2D mask filter method is the best choice.更多还原