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9 September 2011 Stokes vector analysis of LWIR polarimetric in adverse weather
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Abstract
It is understood that Long Wave Infrared (LWIR) polarimetric imagery has the potential for detecting man-made objects in natural clutter backgrounds. Unlike Spectral and conventional broadband, polarimetric imagery takes advantage of the polarized signals emitted by the smooth surfaces of man-made materials. Studying the effect of how meteorological conditions affect polarization signals is imperative in order to understand where and how polarimetric technology can be beneficial to the war fighter. In this paper we intend to demonstrate the effects of weather on the performance of Stokes vector components, S0, S1, S2, and the Degree of Linear Polarization (DOLP) as detectors of man-made materials. Using the Hyperspectral Polarimetric Image Collection Experiment (SPICE) data collection, we analyze approximately one thousand images and correlate the performance of each of the detection metrics to individual meteorological measurements.
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Jacob L Michalson, Joao M. Romano, and Luz Roth "Stokes vector analysis of LWIR polarimetric in adverse weather", Proc. SPIE 8160, Polarization Science and Remote Sensing V, 81600N (9 September 2011); https://doi.org/10.1117/12.893708
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