Filtering Random Layering Effects in Imaging

Objects that are buried deep in heterogeneous media produce faint echoes which are difficult to distinguish from the backscattered field. Sensor array imaging in such media cannot work unless we filter out the backscattered echoes and enhance the coherent arrivals that carry information about the ob...

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Bibliographic Details
Published in:Multiscale modeling & simulation 2010-01, Vol.8 (3), p.751-781
Main Authors: Borcea, L., del Cueto, F. González, Papanicolaou, G., Tsogka, C.
Format: Article
Language:English
Subjects:
Arrays
Backscattering
Computer simulation
Imaging
Layering
Mathematical models
Media
Numerical analysis
Simulation
Studies
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Summary:Objects that are buried deep in heterogeneous media produce faint echoes which are difficult to distinguish from the backscattered field. Sensor array imaging in such media cannot work unless we filter out the backscattered echoes and enhance the coherent arrivals that carry information about the objects that we wish to image. We study such filters for imaging in strongly backscattering, finely layered media. The filters are based on a travel time transformation of the array data, the normal move-out, used frequently in connection with differential semblance velocity estimation in seismic imaging. In a previous paper [L. Borcea et al., Multiscale Model. Simul., 7 (2009), pp. 1267-1301] we showed that the filters can be used to remove coherent signals from strong plane reflectors. In this paper we show theoretically and with extensive numerical simulations that these filters, based on the normal move-out, can also remove the incoherent arrivals in the array data that are due to fine random layering in the medium. [PUBLICATION ABSTRACT]
ISSN:1540-3459
1540-3467
DOI:10.1137/090760854