Manmade objects typically exhibit polarized signatures that can be utilized for target detection more effectively than thermal signatures alone. IR polarimetric imaging can also suppress clutter to highlight manmade objects in thermal equilibrium. However, quantifying the contrast improvement of polarimetric signatures over that of thermal signatures of the same scene has proved problematic due to the nature and dynamic range of the data. The Pyxis camera, a microbolometer-based imaging polarimeter that produces live polarimetric video of conventional, polarimetric, and fused image products and is small enough to be mounted on commercial drones, has collected datasets that demonstrate the improvement. In this paper, we describe the Pyxis camera, show representative data, and present the metrics used to characterize the improvement of polarimetric imaging over that of conventional thermal imaging.
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