论文标题
数据驱动的内部多重消除应用程序使用不完美采样的反射数据
Data-driven internal multiple elimination applications using imperfectly sampled reflection data
论文作者
论文摘要
我们考虑了已被70％进行了次采样的反射数据，并使用点传播功能来重建原始数据。使用Marchenko方法的子采样，原始和重建的反射数据用于对感兴趣的媒介进行成像。使用子采样数据获得的图像显示了由内部倍数引起的伪影，当使用原始数据和重建数据时被消除。
We consider reflection data that have been subsampled by 70% and use Point-Spread-Functions to reconstruct the original data. The subsampled, original and reconstructed reflection data are used to image the medium of interest with the Marchenko method. The image obtained using the subsampled data shows artifacts caused by internal multiples, which are eliminated when the original and reconstructed data are used.
