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- W2317990881 abstract "Summary Conventional migration algorithms use the conjugate transpose of the forward modeling operator instead of the inverse operator, which generally lower the quality of migration images. Least squares migration method involves a numerical approach where the solution is retrieved by solving a linear discrete inverse problem. We perform least squares migration using efficient Fourier Finite-difference modeling and migration operators and test Pre-stack LeastSquares Fourier Finite-difference Migration (LSPFFDM) method via the Marmousi velocity model, and we use the gradient-descent optimization technique in the inverse problem. The image result suggests that the PLSFFDM method has a higher image resolution, as it can be very closer to the reflection coefficient of Marmousi model after several iterations." @default.
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- W2317990881 date "2013-08-19" @default.
- W2317990881 modified "2023-09-23" @default.
- W2317990881 title "The least-squares pre-stack Fourier finite-difference migration" @default.
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- W2317990881 doi "https://doi.org/10.1190/segam2013-0452.1" @default.
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