Curvelet-based ground roll removal
Curvelet-based ground roll removal
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DOI：
10.14288/1.0107402
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
C. Yarham;Urs Boeniger;F. Herrmann
中科院分区：
文献类型：
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作者：
C. Yarham;Urs Boeniger;F. Herrmann
我们已经通过两个步骤有效地识别和消除了地滚波。第一步是通过各种方法识别地滚波的主要成分，包括多尺度分离、方向或频率滤波或识别地滚波的任何其他方法。考虑到这种估计的地滚，记录的信号在第二步中通过块坐标松弛方法，寻求稀疏集的加权曲波系数的地滚和抢手的反射率分离。这两种方法的结合使我们能够分离出地滚信号，同时保留反射体信息。由于我们的方法是迭代的，我们可以控制分离过程。我们成功地测试了我们的算法在一个真实的数据集与复杂的地面滚和反射器结构。
We have effectively identified and removed ground roll through a twostep process. The first step is to identify the major components of the ground roll through various methods including multiscale separation, directional or frequency filtering or by any other method that identifies the ground roll. Given this estimate for ground roll, the recorded signal is separated during the second step through a block-coordinate relaxation method that seeks the sparsest set for weighted curvelet coefficients of the ground roll and the sought-after reflectivity. The combination of these two methods allows us to separate out the ground roll signal while preserving the reflector information. Since our method is iterative, we have control of the separation process. We successfully tested our algorithm on a real data set with a complex ground roll and reflector structure.