Statistical analysis of polarization vectors for target identification

Diane K. Beamer; Ujitha A. Abeywickrema; Partha P. Banerjee

doi:10.1117/1.OE.57.5.054110

21 May 2018 Statistical analysis of polarization vectors for target identification

Diane K. Beamer, Ujitha A. Abeywickrema, Partha P. Banerjee

Author Affiliations +

Optical Engineering, Vol. 57, Issue 5, 054110 (May 2018). https://doi.org/10.1117/1.OE.57.5.054110

Abstract

Polarization measurements can be used to differentiate objects of different geometry and material. Polarimetry has been used as a tool to differentiate between two composite geometries, each comprised of a model satellite bus, a solar panel, and a dish antenna. Each component demonstrates unique polarization signatures that can be obtained by analyzing the reflection of passive illumination. An approach for characterizing geometries using Stokes vector–vector space has been demonstrated to be very effective in differentiating between composite geometries representative of orbiting satellites. Our approach lends itself well to a statistical analysis that is applicable for a computational method to provide target identification of space objects.

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Diane K. Beamer, Ujitha A. Abeywickrema, and Partha P. Banerjee "Statistical analysis of polarization vectors for target identification," Optical Engineering 57(5), 054110 (21 May 2018). https://doi.org/10.1117/1.OE.57.5.054110

Received: 23 February 2018; Accepted: 2 May 2018; Published: 21 May 2018

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