Improved reverse-time migration for electromagnetic waves imaging

Abstract

Reverse Time Migration (RTM) is one of the main seismic migration imaging algorithms, which has the advantages of high imaging accuracy and being unrestricted by tilt angle. In this paper, RTM based on cross-correlation imaging condition is used for electromagnetic waves imaging. After reducing low frequency noise using wavefield decomposition, the results of electromagnetic waves imaging still contain noise caused by multipath effects and clutter from the background. In order to reduce the effects of noises, we propose an improved RTM imaging method based on singular value decomposition (SVD). The numerical results show that the proposed method can reducing multipath noise and background clutter effectively by RTM combing wavefield decomposition with SVD. Electromagnetic wave imaging quality is improved.