Multilayer Stolt Migration Algorithm for Subsurface Target Imaging in Oblique Layers
Multilayer Stolt Migration Algorithm for Subsurface Target Imaging in Oblique Layers
复制标题
斜层地下目标成像的多层Stolt偏移算法
DOI：
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发表时间：
2017
影响因子：
5.5
通讯作者：
Kangwook Kim
中科院分区：
文献类型：
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作者：
Haewon Jung;W. Kang;Kangwook Kim
本文提出了一种广义多层Stolt偏移方法。传统的MULSM方法可以重聚焦图像的掩埋目标在一个分层的几何形状，但只有在层之间的边界是平行的空气-地面界面。新开发的算法可以应用到一个倾斜分层的几何考虑层之间的折射。通过数值和实验研究，推导并验证了该方法的相关方程。所提出的方法重新聚焦的图像被示出为与实际目标位置相匹配。
A generalized multilayer Stolt migration (MULSM) method has been developed. The conventional MULSM method can refocus images of buried targets in a layered geometry, but only where the boundaries between the layers are parallel to the air–ground interface. The newly developed algorithm can be applied to an obliquely layered geometry by taking into account the refraction between the layers. Related equations for the method are derived and validated through numerical and experimental investigations. The images refocused by the proposed method are shown to match the actual target positions.