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Image gather reconstruction using StOMP

Robert G. Clapp


Constructing 3-D angle gathers through cross-correlation poses a computational problem primarily due to the accompanying increase in volume size which forces the gathers to be stored in a computationally more expensive memory level. Compressive sensing can be used to mitigate this challenge. The correlation volume size can be reduced by both phase encoding and random subsampling. The full correlation gathers can then by reconstructed using an $ l_1$ inversion scheme known as Stagewise Orthogonal Matching Pursuit. Preliminary results indicate that almost all angle gather information can be recovered.