18 September 2001 Thermal camouflage pattern prediction using PRISM and PMO
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Abstract
This paper describes the initial phase of an evaluation study on the performance of PMO, the Paint Map Optimizer, for long wave infrared (LWIR) modeling. In this phase, we will evaluate using PRIMS, the Physically Reasonable Infrared Signature Modeler, to predict the thermal signature of a simplified tank geometry, and then PMO to predict the optimal thermal camouflage pattern from a range of emissivities in a given scenario. Prism is a thermal modeling code that has been used extensively to model thermal signatures of military ground vehicles. PMO was developed by Aerodyne Research to provide a computer-aided design tool for camouflage pattern design and optimization in a given scenario and a given band for the US Army Aviation Technology Directorate, AATD. At the end of this phase, we hope to determine the basic effectiveness of the process and identify areas of improvement if necessary. The geometry was modeled in PRISM. which output the thermal signature for input into PMO. The optimizer was used to predict the thermal camouflage pattern in the 8-12micrometers IR band for a range of emissivities with the geometry in three different locations in the background image.
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Geralyn BoBo, Geralyn BoBo, Teresa G. Gonda, Teresa G. Gonda, Fred W. Bacon, Fred W. Bacon, } "Thermal camouflage pattern prediction using PRISM and PMO", Proc. SPIE 4370, Targets and Backgrounds VII: Characterization and Representation, (18 September 2001); doi: 10.1117/12.440064; https://doi.org/10.1117/12.440064
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