High-resolution imaging through strong atmospheric turbulence

Stuart M. Jefferies, Douglas A. Hope, Michael Hart, James G. Nagy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

We propose the use of an aperture diverse imaging system for high-resolution imaging through strong atmospheric turbulence. The system has two channels. One channel partitions the aperture into a set of annular apertures that provide a set of images of the target at different spatial resolutions. The other channel feeds an imaging Shack-Hartmann wavefront sensor with a small number of sub-apertures. The combined imagery from this setup is processed using a blind restoration algorithm that captures the inherent temporal correlations in the observed atmospheric wave fronts. This approach shows significant promise for providing high-fidelity imagery for observations acquired through strong atmospheric turbulence. The approach also allows for the separation of the phase perturbations from different layers of the atmosphere. This characteristic offers potential for the accurate restoration of images with fields of view substantially larger than the isoplanatic angle.

Original languageEnglish (US)
Title of host publicationRemote Sensing of Clouds and the Atmosphere XVIII; and Optics in Atmospheric Propagation and Adaptive Systems XVI
DOIs
StatePublished - 2013
EventRemote Sensing of Clouds and the Atmosphere XVIII; and Optics in Atmospheric Propagation and Adaptive Systems XVI - Dresden, Germany
Duration: Sep 23 2013Sep 26 2013

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8890
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceRemote Sensing of Clouds and the Atmosphere XVIII; and Optics in Atmospheric Propagation and Adaptive Systems XVI
Country/TerritoryGermany
CityDresden
Period9/23/139/26/13

Keywords

  • Atmospheric turbulence
  • aperture diversity
  • image restoration
  • multi frame blind deconvolution
  • wave-front sensing

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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