Improved reverse-time migration for electromagnetic waves imaging

Yu Wei; Dajun Chen; Lei Kuang

doi:10.1117/12.2682292

26 May 2023 Improved reverse-time migration for electromagnetic waves imaging

Yu Wei, Dajun Chen, Lei Kuang

Proceedings Volume 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023); 127001L (2023) https://doi.org/10.1117/12.2682292
Event: International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 2023, Nanchang, China

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.

Citation Download Citation

Yu Wei, Dajun Chen, and Lei Kuang "Improved reverse-time migration for electromagnetic waves imaging", Proc. SPIE 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 127001L (26 May 2023); https://doi.org/10.1117/12.2682292

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available