18 May 2012 Turbulence degradation and mitigation performance for handheld weapon ID
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Abstract
Atmospheric turbulence can severely limit the range performance of state-of-the-art large aperture imaging sensor systems, specifically those intended for long range ground to ground target identification. Simple and cost-effective mitigation solutions which operate in real-time are desired. Software-based post-processing techniques are attractive as they lend themselves to easy implementation and integration into the back-end of existing sensor systems. Recently, various post-processing algorithms to mitigate turbulence have been developed and implemented in real-time hardware. To determine their utility in Army-relevant tactical scenarios, an assessment of the impact of the post processing on observer performance is required. In this paper, we test a set of representative turbulence mitigation algorithms on field collected data of human targets carrying various handheld objects in varying turbulence conditions. We use a controlled human perception test to assess handheld weapon identification performance before and after turbulence mitigation post-processing. In addition, novel image analysis tools are implemented to estimate turbulence strength from the scene. Results of this assessment will lead to recommendations on cost-effective turbulence mitigation strategies suitable for future sensor systems.
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Richard L. Espinola, Richard L. Espinola, Sameer Aghera, Sameer Aghera, Roger Thompson, Roger Thompson, Jason Miller, Jason Miller, } "Turbulence degradation and mitigation performance for handheld weapon ID", Proc. SPIE 8355, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII, 83550S (18 May 2012); doi: 10.1117/12.919874; https://doi.org/10.1117/12.919874
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