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- W2316607926 abstract "Super-resolution imaging of point like geological features is of great interest for analyzing the location of faults and resolving finer details like formation pinch outs. For diffractions from point like features, it has been demonstrated that the time-reversal MUSIC (MUltiple SIgnal Classification) algorithm is able to resolve the location of very closely separated scatterers beyond the classical limit (Lehman and Devaney, 2003; Gelius, 2009). Though this algorithm is efficient for a noise free case, it has been found that it is highly sensitive to the noise level in the measurements. In this paper, we present a modified MUSIC type of algorithm that can handle measurement noise and the phase ambiguity introduced due to singular value decomposition (SVD) by utilizing both the source and receiver side singular vectors and superimposing phase-coherent multiple frequency images. The performance of this new algorithm is demonstrated to be excellent when employed to numerical data associated with two point scatterers superimposed Gaussian white noise." @default.
- W2316607926 created "2016-06-24" @default.
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- W2316607926 date "2010-01-01" @default.
- W2316607926 modified "2023-09-27" @default.
- W2316607926 title "Multi-frequency Phase Coherent Super-resolution Imaging" @default.
- W2316607926 doi "https://doi.org/10.3997/2214-4609.201401320" @default.
- W2316607926 hasPublicationYear "2010" @default.
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