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Proceedings Paper

Compressive sensing for channeled polarimetry: applications in spectropolarimetry and imaging polarimetry
Author(s): Dennis J. Lee
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Paper Abstract

This paper will present an overview of compressive sensing for channeled polarimetry. We frame the reconstruction of the Stokes parameters as an underdetermined problem, where we solve for 3N unknowns from N measurements. We discuss two types of polarimeters: channeled spectropolarimeters and channeled linear imaging polarimeters. The polarimeters may differ in a few aspects: the output may be signals or images, the optical elements may vary, and the dimensions may be spatial or spectral. Our algorithms work with existing polarimeters and require no change in optical elements or measurement procedure. The purpose of this work is to present this framework and describe how it applies across different types of polarimeters. Both simulations and experiments show that our algorithms produce more accurate reconstructions with less artifacts than frequency domain filtering

Paper Details

Date Published: 6 September 2019
PDF: 12 pages
Proc. SPIE 11130, Imaging Spectrometry XXIII: Applications, Sensors, and Processing, 111300D (6 September 2019); doi: 10.1117/12.2550332
Show Author Affiliations
Dennis J. Lee, Sandia National Labs. (United States)

Published in SPIE Proceedings Vol. 11130:
Imaging Spectrometry XXIII: Applications, Sensors, and Processing
Emmett J. Ientilucci, Editor(s)

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