Modulated polarimeter operators in the presence of stochastic signals

Charles LaCasse; Scott Tyo

doi:10.1117/12.921947

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8 June 2012 Modulated polarimeter operators in the presence of stochastic signals

Charles LaCasse, Scott Tyo

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Proceedings Volume 8364, Polarization: Measurement, Analysis, and Remote Sensing X; 836403 (2012) https://doi.org/10.1117/12.921947
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

Modulated imaging Stokes polarimeters require processing of acquired data to produce an estimate of the Stokes parameters from the scene. The total polarimeter operator describes the estimation of the Stokes parameters from the incident fields from the scene through reconstruction. In this discussion will shall consider the polarimeter being applied to an application where the spectral density matrix of the scene Stokes parameters and detector noise are known. The spectral density matrix of the estimated Stokes parameters is found using the known spectral density matrix of the scene to find the response of the operator to signal fluctuations. This analysis grants the ability to optimize the operator for a given application. We demonstrate an optimization of system processing algorithm that takes inspiration from the classical Wiener filter.

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Charles LaCasse and Scott Tyo "Modulated polarimeter operators in the presence of stochastic signals", Proc. SPIE 8364, Polarization: Measurement, Analysis, and Remote Sensing X, 836403 (8 June 2012); https://doi.org/10.1117/12.921947

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