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Passive imaging with ambient noise / Josselin Garnier (Université Paris Diderot, France), George Papanicolaou (Stanford University, USA).

By: Contributor(s): Material type: TextTextPublisher: Cambridge : Cambridge University Press, 2016Description: 1 online resource (xii, 294 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781316471807 (ebook)
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 621.36/78 23
LOC classification:
  • TA1637 .G37 2016
Online resources:
Contents:
Green's function estimation from noise cross correlations -- Travel time estimation from noise cross correlations using stationary phase -- Overview of conventional sensor array imaging -- Passive array imaging of reflectors using ambient noise illumination -- Resolution analysis for passive array imaging using ambient noise illumination -- Travel time estimation using ambient noise in weakly scattering media -- Correlation-based reflector imaging using ambient noise in weakly scattering media -- Virtual source imaging in homogeneous media -- Virtual source imaging in scattering media -- Imaging with intensity cross correlations -- A review of wave propagation in random media.
Summary: Waves generated by opportunistic or ambient noise sources and recorded by passive sensor arrays can be used to image the medium through which they travel. Spectacular results have been obtained in seismic interferometry, which open up new perspectives in acoustics, electromagnetics, and optics. The authors present, for the first time in book form, a self-contained and unified account of correlation-based and ambient noise imaging. In order to facilitate understanding of the core material, they also address a number of related topics in conventional sensor array imaging, wave propagation in random media, and high-frequency asymptotics for wave propagation. Taking a multidisciplinary approach, the book uses mathematical tools from probability, partial differential equations and asymptotic analysis, combined with the physics of wave propagation and modelling of imaging modalities. Suitable for applied mathematicians and geophysicists, it is also accessible to graduate students in applied mathematics, physics, and engineering.
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Title from publisher's bibliographic system (viewed on 05 Apr 2016).

Green's function estimation from noise cross correlations -- Travel time estimation from noise cross correlations using stationary phase -- Overview of conventional sensor array imaging -- Passive array imaging of reflectors using ambient noise illumination -- Resolution analysis for passive array imaging using ambient noise illumination -- Travel time estimation using ambient noise in weakly scattering media -- Correlation-based reflector imaging using ambient noise in weakly scattering media -- Virtual source imaging in homogeneous media -- Virtual source imaging in scattering media -- Imaging with intensity cross correlations -- A review of wave propagation in random media.

Waves generated by opportunistic or ambient noise sources and recorded by passive sensor arrays can be used to image the medium through which they travel. Spectacular results have been obtained in seismic interferometry, which open up new perspectives in acoustics, electromagnetics, and optics. The authors present, for the first time in book form, a self-contained and unified account of correlation-based and ambient noise imaging. In order to facilitate understanding of the core material, they also address a number of related topics in conventional sensor array imaging, wave propagation in random media, and high-frequency asymptotics for wave propagation. Taking a multidisciplinary approach, the book uses mathematical tools from probability, partial differential equations and asymptotic analysis, combined with the physics of wave propagation and modelling of imaging modalities. Suitable for applied mathematicians and geophysicists, it is also accessible to graduate students in applied mathematics, physics, and engineering.

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