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Optical Engineering

Determining the complex index of refraction of an unknown object using turbulence-degraded polarimetric imagery
Author(s): Milo W. Hyde; Jason D. Schmidt; Michael J. Havrilla; Stephen C. Cain
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Paper Abstract

A novel index-of-refraction material-characterization technique using passive polarimetric imagery degraded by atmospheric turbulence is presented. The method uses a variant of the LeMaster and Cain [J. Opt. Soc. Am. A 25(9), 2170-2176 (2008)] blind-deconvolution algorithm to recover the true object (i.e., the first Stokes parameter), the degree of linear polarization, and the polarimetric-image point spread functions. Nonlinear least squares is then used to find the value of the complex index of refraction that best fits the theoretical degree of linear polarization, derived using a polarimetric bidirectional reflectance distribution function, to the turbulence-corrected degree of linear polarization. To verify the proposed material-characterization technique, experimental results of two painted metal samples are provided and analyzed.

Paper Details

Date Published: 1 December 2010
PDF: 11 pages
Opt. Eng. 49(12) 126201 doi: 10.1117/1.3518044
Published in: Optical Engineering Volume 49, Issue 12
Show Author Affiliations
Milo W. Hyde, Air Force Institute of Technology (United States)
Jason D. Schmidt, Air Force Institute of Technology (United States)
Michael J. Havrilla, Air Force Institute of Technology (United States)
Stephen C. Cain, Air Force Institute of Technology (United States)

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