Modeling and performance assessment in QinetiQ of EO and IR airborne reconnaissance systems

John W. Williams; Gary E. Potter

doi:10.1117/12.451860

15 November 2002 Modeling and performance assessment in QinetiQ of EO and IR airborne reconnaissance systems

John W. Williams, Gary E. Potter

Proceedings Volume 4824, Airborne Reconnaissance XXVI; (2002) https://doi.org/10.1117/12.451860
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

Abstract

QinetiQ are the technical authority responsible for specifying the performance requirements for the procurement of airborne reconnaissance systems, on behalf of the UK MoD. They are also responsible for acceptance of delivered systems, overseeing and verifying the installed system performance as predicted and then assessed by the contractor. Measures of functional capability are central to these activities. The conduct of these activities utilises the broad technical insight and wide range of analysis tools and models available within QinetiQ. This paper focuses on the tools, methods and models that are applicable to systems based on EO and IR sensors. The tools, methods and models are described, and representative output for systems that QinetiQ has been responsible for is presented. The principle capability applicable to EO and IR airborne reconnaissance systems is the STAR (Simulation Tools for Airborne Reconnaissance) suite of models. STAR generates predictions of performance measures such as GRD (Ground Resolved Distance) and GIQE (General Image Quality) NIIRS (National Imagery Interpretation Rating Scales). It also generates images representing sensor output, using the scene generation software CAMEO-SIM and the imaging sensor model EMERALD. The simulated image 'quality' is fully correlated with the predicted non-imaging performance measures. STAR also generates image and table data that is compliant with STANAG 7023, which may be used to test ground station functionality.

Citation Download Citation

John W. Williams and Gary E. Potter "Modeling and performance assessment in QinetiQ of EO and IR airborne reconnaissance systems", Proc. SPIE 4824, Airborne Reconnaissance XXVI, (15 November 2002); https://doi.org/10.1117/12.451860

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