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Activity title

High-Fidelity Electro-Optic/Infrared Scene Simulation for Decision Support

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NATO Modelling and Simulation Group

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EOIR, highfidelity, Modelling and simulation, sensor, synthetic imagery, target acquisition


Advances in both computational techniques and computer hardware have made it possible to create high-fidelity, physically-accurate, multispectral, synthetic imagery rivaling that from actual Electro-Optic / Infrared sensors. With accurate synthetic imagery we can conduct credible virtual testing to evaluate and improve the effectiveness of our current and proposed EO/IR sensor systems. These abilities allow us to greatly improve our decision-support tools in capability development, operational training, system procurement and operational use. The following are some examples of how this capability may be used. • Establish sensor requirements for current and future EO/IR systems • Evaluate notional sensor concepts prior to investment • Evaluate sensor system effectiveness in varied environments • Evaluate and improve target acquisition and tracking algorithm effectiveness • Determine best conditions to deploy EO/IR systems to detect specific threats, vehicles, etc. Collaboration in these areas will enhance individual national high fidelity simulation programs through sharing of techniques and experiences and help pave the way for further collaboration.


The objective of this exploratory team would be to 1. Establish the state of the art in tools and techniques for high fidelity EO/IR scene simulation in NATO and partner nations. 2. Identify how these capabilities are being used to improve decision-making in support of operations, capability development and procurement in the individual nations. 3. Improve communications among engineers and scientists working in this topic area 4. Identify specific points of further collaboration that may be suitable for a NATO task group.


1. Existing EO/IR simulation capabilities 2. Common data and standards 3. Common simulation components 4. Physical processes required to represent given scenarios

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