Polarimetry

Laser polarimetry utilizes the orientation of the electric-field vector of light for applications including automated target recognition (ATR) according to shape, texture, and permittivity. Laser polarization signatures are high-dimensional datasets to which methods of machine-learning are applied in polarization-components techniques (PCT) algorithms developed at AOT.

AOT is currently engaged in theoretical and experimental R&D in laser polarimetry for several applications. See the publications below or contact us for more information.

Noise reduction in a laser polarimeter based on discrete waveplate rotations
originally published in Optics Express, vol. 16, pp. 2091-2108 (2008).

Polarization Components Analysis for Invariant Discrimination
originally published in Applied Optics, vol.46, pp.8364-8373, December 1, 2007.

Coherence and Polarization Properties of Far-Fields Generated by Quasihomogeneous Planar Electromagnetic Sources
originally published in Journal of the Optical Society of America A, vol.22, pp.2547-2556, November 2005.