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Image-based end-To-end EO system performance modeling as a design and optimization tool

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Author: Hogervorst, M.A. · Bijl, P. · Fuller, P. · Aartsen, R. · Jovanov, L.
Type:article
Date:2018
Publisher: SPIE
Source:Electro-Optical and Infrared Systems: Technology and Applications XV 2018, 12 September 2018 through 13 September 2018, Hickman, D.L.Bursing, H.Huckridge, D.A., Proceedings of SPIE - The International Society for Optical Engineering, 10795
Identifier: 844202
doi: doi:10.1117/12.2326284
ISBN: 9781510621732
Article number: 107950O
Keywords: Informatics · EO · IR · TOD · Cameras · Economic and social effects · Image processing · Infrared devices · Iridium · Optical data processing · Optical systems · Signal to noise ratio · ECOMOS · EOSTAR · Sensor model · Sensor tests · Target acquisition · Design

Abstract

Image-based Electro-Optical system simulation including an end-To-end performance test is a powerful tool to characterize a camera system before it has been built. In particular, it can be used in the design phase to make an optimal trade-off between performance on the one hand and SWaPC criteria on the other. During the design process, all components can be simulated in detail, including optics, sensor array properties, chromatic and geometrical lens corrections, signal processing, and compression. Finally, the overall effect on the outcome can be visualized, evaluated and can be optimized. In this study, we developed a detailed model of the CMOS camera system imaging chain . The model simulation was evaluated by comparing simulated imagery with recorded image using both physical and psychophysical measures for a range of conditions: different light levels, moving stimuli with different speeds, movies and single frames. The performance analysis show that the model simulations are largely in line with the recorded sensor images with some minor deviations. The result of the study is a detailed, validated and powerful sensor performance prediction model. This project has received funding from the Electronic Component Systems for European Leadership Joint Undertaking. © 2018 SPIE.