Paper
9 October 2019 ECOMOS software structure and key features
E. Repasi, S. Keßler, P. Bijl, R. J. M. ten Hove, L. Labarre, D. Wegner, W. Wittenstein, H. Buersing
Author Affiliations +
Abstract
ECOMOS is a multinational effort within the framework of an EDA Project Arrangement. Its aim is to provide a generally accepted and harmonized European computer model for computing nominal Target Acquisition (TA) ranges of optronic imagers operating in the Visible or thermal Infrared (IR). The project involves close co-operation of defense and security industry and public research institutes from five nations: France, Germany, Italy, The Netherlands and Sweden. ECOMOS will use and combine existing European tools, to build up a strong competitive position. In Europe, there are two well-accepted approaches for providing TA performance data: the German TRM (Thermal Range Model) model and the Netherlands TOD (Triangle Orientation Discrimination) method. ECOMOS will include both approaches. The TRM model predicts TA performance analytically, whereas the TOD prediction model utilizes the TOD test method, imaging simulation and a Human Visual System model in order to assess device performance. For the characterization of atmosphere and environment, ECOMOS uses the French model and software MATISSE (Modélisation Avancée de la Terre pour l'Imagerie et la Simulation des Scènes et de leur Environnement). The first software implementation of ECOMOS has been finalized in spring 2019. In this presentation, the key features implemented in the current version are elucidated. In addition, the final ECOMOS software structure as well as an overview of the user guidance within ECOMOS are shown.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
E. Repasi, S. Keßler, P. Bijl, R. J. M. ten Hove, L. Labarre, D. Wegner, W. Wittenstein, and H. Buersing "ECOMOS software structure and key features", Proc. SPIE 11159, Electro-Optical and Infrared Systems: Technology and Applications XVI, 111590K (9 October 2019); https://doi.org/10.1117/12.2536425
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KEYWORDS
Performance modeling

Data modeling

Instrument modeling

Visual process modeling

Atmospheric modeling

Computer simulations

Imaging systems

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