An Improved Stolt Migration Algorithm Based on High Sampling Freedom Degree for Borehole Array Radar Imaging

摘要

An improved Stolt migration algorithm is proposed for the borehole array radar imaging by employing the high sampling freedom degree of virtual sample set. To handle the borehole array radar samples efficiently, the original samples are firstly expanded to a virtual sample set with higher sampling freedom degree and then processed by modified Stolt migration algorithm. The relation between sample space and target space is derived and simplified for the formation of modified Stolt migration algorithm in the frame of borehole array radar. The improved approach is compared with the conventional Stolt migration algorithm, back projection method, and Kirchhoff migration algorithm with synthetic data. The results demonstrate the developed approach is superior to the conventional methods in borehole array radar imaging.