【摘要】 对曲波变换的地震数据随机噪声衰减方法进行了探索,基于曲波(Curvelet)变换在图像处理方面的优越性,结合循环平移(Cycle spinning)技术提出了一种用于地震随机噪声衰减的新方法.在利用曲波变换闽值去噪算法基础上引入循环平移技术,可以消除曲波变换由于缺乏平移不变性所导致的信号伪吉布斯效应,并且较好地保留了有效信号.对地震正演模拟数据进行随机噪声衰减试验,对不同噪声含量数据进行去噪分析,并应用于实际地震数据,结果表明,新方法对去除地震随机噪音有较好的效果.更多还原

【Abstract】 A new method for seismic de-noising which colligated the curvelet transform and cycle Spinning was presented.Due to the lack of translation invariance of the curvelet transform,seismic de-noising by coefficient thresholding would lead to Gibbs-like phenomena,cycle spinning was employed to avoid it.The experimental results indicate that the method can get good effect of seismic random de-noising.更多还原