【摘要】 地震记录中常伴有脉冲噪声干扰，严重影响地震数据分析的后续工作。这些噪声常表现为聚集状态，持续时间长，将其称之为脉冲噪声簇。使用中值滤波器进行脉冲噪声簇压制会大大损坏有效信号，而改进的决策中值滤波器不能有效的区分出脉冲噪声簇。因而，提出一种基于簇检测的脉冲噪声压制方法，首先使用长短时平均值比法(short-term average/long-term average, STA/LTA)对噪声进行判别和检测，然后进行同一脉冲噪声簇判别，以解决噪声的漏检问题，最后结合中值滤波器，自适应的伸缩滤波窗口对脉冲噪声簇进行滤波。合成和真实数据实例表明，相比于其他方法，本文方法可有效压制脉冲噪声簇，并使得有效信号损坏程度最小。更多还原

【Abstract】 Seismic records are often accompanied by impulse noise interference, which seriously affects the follow-up work of seismic data analysis. These noises are often in a concentrated state and last for a long time, so they are called impulse noise clusters. The median filter used to suppress the impulse noise clusters will greatly damage the effective signal, and the improved decision-based median filter cannot effectively distinguish the impulse noise clusters. Therefore, an impulse noise suppression method based on cluster detection was proposed. First, the short-term average/long-term average(STA/LTA) algorithm was used to distinguish and detect the noise. Then the same impulse noise cluster was distinguished to solve the problem of missing noise detection. Finally, the filter window of the adaptively stretched median filter was used to filter the detected impulse noise clusters. Synthetic and real data examples show that, compared with other methods, the method in this paper can effectively suppress the impulse noise clusters and minimize the effective signal damage.更多还原