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

doi:10.1117/12.2676575

3 October 2023 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

Author Affiliations +

Proceedings Volume 12690, Polarization Science and Remote Sensing XI; 126900H (2023) https://doi.org/10.1117/12.2676575
Event: SPIE Optical Engineering + Applications, 2023, San Diego, California, United States

Abstract

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.

Conference Presentation

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Oscar G. Rodríguez-Herrera, J. Scott Tyo, Lingxi Wang, Mehrtash T. Harandi, Connor Flannery, Joe Kurtz, and Andrey S. Alenin "Feasibility analysis and Mueller matrix retrieval strategy for a scene-adaptive modulated imaging polarimeter", Proc. SPIE 12690, Polarization Science and Remote Sensing XI, 126900H (3 October 2023); https://doi.org/10.1117/12.2676575

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