Bandwidth and crosstalk considerations in a spatio-Temporally modulated polarimeter

Israel J. Vaughn, Oscar G. Rodríguez-Herrera, Mohan Xu, J. S. Tyo

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

8 Scopus citations

Abstract

Recently we designed and built a portable imaging polarimeter for remote sensing applications.1 Polarimetric imaging operators are a class of linear systems operators in the Mueller matrix reconstruction space, resulting in a set of measurement channels.2 The nature of remote sensing requires channel crosstalk to be minimized for either general Mueller matrix reconstruction or task specific polarimetric remote sensing. We illustrate crosstalk issues for a spatio-Temporally modulated Mueller matrix reconstruction operator, and show how to minimize channel crosstalk by maximizing bandwidth between channels. Specifically channel cancellation allows increases in channel bandwidth. We also address the impact that systematic deviations from the ideal operators and i.i.d. noise have on the system channel structure.

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
CountryUnited States
CitySan Diego
Period8/11/158/12/15

Keywords

  • Mueller matrix
  • active polarimetry
  • aliasing
  • crosstalk
  • linear systems
  • modulated polarimetry
  • polarimetry

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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