Abstract

The smart weapons operability enhancement (SWOE) program has developed a synthetic scene generation process that incorporates formal experimental design, random sampling procedures, data collection methods, physics models, and numerically repeatable validation procedures. The SWOE synthetic scene generation procedure uses an assemblage of measurements, static and dynamic information databases, thermal and radiance models, and rendering techniques to simulate a wide range of environmental conditions. The models provide a spatial and spectral agility that permits the simulation of a wide range of sensor systems for varied environmental conditions. Comprehensive validation efforts have been conducted for two locations: Grayling, Michigan and Yuma, Arizona, and for two spectral bands: shortwave (3 - 5 micrometers ) and longwave (8 - 12 micrometers ) IR. The intended use of the validated SWOE process is synthetic battlefield scene generation. The users of the SWOE process are the smart weapons system designers, developers, testers and evaluators, including developers of automatic target recognition algorithms and techniques.

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