A nine-channeled partial Mueller matrix polarimeter

Andrey S. Alenin*, Israel J. Vaughn, J. Scott Tyo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

We have recently introduced channeled-partial Mueller matrix polarimeters as a potential design for measuring a limited number of Mueller elements for remote sensing discrimination. Because in such systems the polarization information is modulated in space or spectrum, the corresponding carrier domain ends up sharing two different types of information, thus leading to a reduction of bandwidth for each. In this work, we concentrate on an efficient nine-channel/nine-reconstructables design, which limits the associated resolution loss by limiting the overall complexity of the system. Employing structured decomposition techniques allows us to produce a system description that provides an analytically deducible set of reconstructables that include o'š00, any two linear combinations of the elements within the diattenuation vector, any two linear combinations of the elements within the polarizance vector, as well as the linear combinations specified by the Kronecker product of the diattenuation and polarizance vectors. Finally, we optimize the available polarimeter parameters to align the nine reconstructables with the desirables derived from sample data, while maintaining the ability to discriminate between different objects.

Original languageEnglish
Title of host publicationPolarization Science and Remote Sensing VIII
EditorsJoseph A. Shaw, Frans Snik
PublisherSPIE
ISBN (Electronic)9781510612716
DOIs
Publication statusPublished - 2017
Externally publishedYes
EventPolarization Science and Remote Sensing VIII 2017 - San Diego, United States
Duration: 8 Aug 20179 Aug 2017

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10407
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferencePolarization Science and Remote Sensing VIII 2017
Country/TerritoryUnited States
CitySan Diego
Period8/08/179/08/17

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