Channeled partial Mueller matrix polarimetry

Andrey S. Alenin, J. S. Tyo

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

1 Scopus citations

Abstract

In prior work,1,2 we introduced methods to treat channeled systems in a way that is similar to Data Reduction Method (DRM), by focusing attention on the Fourier content of the measurement conditions. Introduction of Q enabled us to more readily extract the performance of the system and thereby optimize it to obtain reconstruction with the least noise. The analysis tools developed for that exercise can be expanded to be applicable to partial Mueller Matrix Polarimeters (pMMPs), which were a topic of prior discussion as well. In this treatment, we combine the principles involved in both of those research trajectories and identify a set of channeled pMMP families. As a result, the measurement structure of such systems is completely known and the design of a channeled pMMP intended for any given task becomes a search over a finite set of possibilities, with the additional channel rotation allowing for a more desirable Mueller element mixing.

Original languageEnglish (US)
Title of host publicationPolarization Science and Remote Sensing VII
EditorsJoseph A. Shaw, Daniel A. LeMaster
PublisherSPIE
ISBN (Electronic)9781628417791
DOIs
StatePublished - 2015
EventPolarization Science and Remote Sensing VII - San Diego, United States
Duration: Aug 11 2015Aug 12 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9613
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherPolarization Science and Remote Sensing VII
Country/TerritoryUnited States
CitySan Diego
Period8/11/158/12/15

Keywords

  • Channeled Systems
  • Optimization
  • Partial Mueller Matrix
  • Polarimetry
  • Polarization

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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