@inproceedings{e5447f793e3b48ef82909b6bdb6093aa,
title = "Channeled partial Mueller matrix polarimetry",
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.",
keywords = "Channeled Systems, Optimization, Partial Mueller Matrix, Polarimetry, Polarization",
author = "Alenin, {Andrey S.} and Tyo, {J. S.}",
note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; Polarization Science and Remote Sensing VII ; Conference date: 11-08-2015 Through 12-08-2015",
year = "2015",
doi = "10.1117/12.2189087",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Shaw, {Joseph A.} and LeMaster, {Daniel A.}",
booktitle = "Polarization Science and Remote Sensing VII",
}