Least-Squares Reverse Time Migration in Imaging Domain Based on Global Space-Varying Deconvolution
The classical least-squares migration (LSM) translates seismic imaging into a data-fitting optimization problem to obtain high-resolution images. However, the classical LSM is highly dependent on the precision of seismic wavelet and velocity models, and thus it suffers from an unstable convergence a...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-02-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/5/2361 |