激光与光电子学进展, 2019, 56 (3): 031501, 网络出版: 2019-07-31
干扰控制K 均值序贯泛化二维地震信号去噪
Two-Dimensional Seismic Signal Denoising Based on Controlled Interference K -Means Sequential Generalized Algorithm
机器视觉 二维地震信号 噪声干扰控制 K均值序贯泛化字典 去噪 信噪比 machine vision two-dimensional seismic signal noise interference control K-means sequential generalized dictionary denoising signal to noise ratio
摘要
Abstract
A certain amount of noise would be introduced by a dictionary update step using the K-means sequential generalized (SGK) denoising algorithm. To reduce the effect of noise interference on dictionary atoms, a seismic signal denoising algorithm is proposed based on controlled interference SGK (C-SGK) dictionary learning under a compressive sensing framework. The algorithm compares the signal-to-noise ratio and the threshold set in the dictionary update step, which determines whether to update the atom: the atoms should be sequentially updated only if the signal-to-noise ratio is greater than the threshold. The experimental results of synthesized and real seismic signal denoising in this study indicate that the proposed algorithm can effectively control noise interference. Compared with traditional SGK denoising, the proposed algorithm demonstrates a better denoising effect on seismic signals.
冯振杰, 张欢, 张成. 干扰控制