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Within the military environment there is a growing interest in the use of synthetic imagery as a method for assessing the performance potential of many assets, such as camouflage systems, ATR/I systems, future sensor systems and the susceptibility of such systems to countermeasures. Field trials are expensive, subject to the vagaries of weather, and cannot be used to design or assess new systems and technologies. The requirements for high fidelity synthetic image simulation differ quite significantly dependent on the application area. The Camouflage Electro-Optic Simulation System (CAMEO-SIM) has been developed as a modular system to deliver 0.4-20 micron2 32-bit physics based synthetic imagery to defense researchers in the UK based on a 3D textured geometric representation of the synthetic environment. The system has been developed to be sufficiently flexible to support a wide range of defense applications requiring synthetic image streams as their inputs. The key difference between the CAMEO-SIM system and commercial image generation systems is that CAMEO-SIM is a first principle simulator working in spectral radiometric space solving the underlying physical equations of radiation transport. This difference underpins the military usefulness of the system and also enables the system to become predictive in nature. Using CAMEO-SIM, the user can examine the effects of changes in input parameters such as time of day, weather, material properties (optical and thermophysical), and wavelength from one set of geometric and textural information to assess the effects on the performance of the defense function being researched. If this goal can be achieved more robust defense function performance, due to larger available training sets or better understanding of the issues at the start of the development, will ensue. This paper outlines the development status of the CAMEO-SIM system and describes the current enhancements undertaken to improve the fidelity and accuracy of the system for more recent defense requirements. The paper also outlines the currently identified areas of development to provide improved capability. The paper also discusses the interaction between the CAMEO-SIM system and the Fidelity Investigation and Reporting Environment (FIRE) system. This enables the modeler to examine early in the modeling process the quality of the textural and geometric information used in the synthetic imagery.
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