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Imaging in Random Media

In: Handbook of Mathematical Methods in Imaging

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  • Liliana Borcea

    (University of Michigan, Department of Mathematics)

Abstract

We give a self-contained presentation of coherent array imaging in random media, which are mathematical models of media with uncertain small-scale features (inhomogeneities). We describe the challenges of imaging in random media and discuss the coherent interferometric (CINT) imaging approach. It is designed to image with partially coherent waves, so it works at distances that do not exceed a transport mean-free path. The waves are incoherent when they travel longer distances, due to strong cumulative scattering by the inhomogeneities, and coherent imaging becomes impossible. In this article we base the presentation of coherent imaging on a simple geometrical optics model of wave propagation with randomly perturbed travel time. The model captures the canonical form of the second statistical moments of the wave field, which describe the loss of coherence and decorrelation of the waves due to scattering in random media. We use it to give an explicit resolution analysis of CINT which includes the assessment of statistical stability of the images.

Suggested Citation

  • Liliana Borcea, 2015. "Imaging in Random Media," Springer Books, in: Otmar Scherzer (ed.), Handbook of Mathematical Methods in Imaging, edition 2, pages 1279-1340, Springer.
  • Handle: RePEc:spr:sprchp:978-1-4939-0790-8_41
    DOI: 10.1007/978-1-4939-0790-8_41
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