Feasibility analysis and Mueller matrix retrieval strategy for a scene-adaptive modulated imaging polarimeter

Oscar G. Rodríguez-Herrera, J. Scott Tyo, Lingxi Wang, Mehrtash T. Harandi, Connor Flannery, Joe Kurtz, Andrey S. Alenin

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


Multi-domain modulated polarimeters offer benefits such as an increased channel separation in the frequency domain, allowing a reduction in cross-talk and improving their performance in the retrieval of the polarization information. Although the experimental implementation of this kind of system cannot be realized with perfect, periodic modulation due to practical limitations, machine learning methods have been used to obtain the correct calibration parameters and reduce errors during the data reduction stage. The aforementioned strategies have improved the performance of modulated polarimeters. However, in the modulated polarimetric systems reported in the literature, the modulation parameters are set during the design stage and remain unchanged during operation. In this work, we present a dynamic, spatially channeled, imaging Mueller matrix polarimeter in which the modulation parameters of the polarization state generator (PSG) can be adjusted during operation to achieve better performance depending on the spatial frequency properties of the scene under analysis. We present experimental evidence of the feasibility of the method, discuss its capabilities and current limitations, and describe a strategy to retrieve the Mueller matrix of a scene.

Original languageEnglish
Title of host publicationPolarization Science and Remote Sensing XI
EditorsMeredith K. Kupinski, Joseph A. Shaw, Frans Snik
Place of PublicationBellingham WA USA
Number of pages9
ISBN (Electronic)9781510665958
ISBN (Print)9781510665941
Publication statusPublished - 2023
EventPolarization Science and Remote Sensing XI 2023 - San Diego, United States of America
Duration: 21 Aug 202322 Aug 2023

Publication series

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


ConferencePolarization Science and Remote Sensing XI 2023
Country/TerritoryUnited States of America
CitySan Diego


  • channeled polarimetry
  • imaging polarimetry
  • Polarimetry

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