Synthetic data for multispectral and hyperspectral imaging using ShipIR/NTCS

The naval ship infrared signature model and naval threat countermeasure simulator (ShipIR/NTCS) developed by W.R. Davis Engineering Ltd. has undergone extensive validation since its adoption as a NATO-standard and through US Navy Accreditation for Live Fire Test and Evaluation of the DDG-79 (Flight IIA) Aegis Guided Missile Destroyer and Contract Design of the DDG-1000 (USS Zumwalt) Guided Missile Destroyer. Some of the features that make this tool well suited for input to AI / ML applications is its fully-deterministic approach to thermal / EOIR modelling. With the delivery of a turn-key ShipIR thermal and EOIR model of each class of ship, only a few climatic and ship operational inputs are required to construct a full operating EOIR scenario with both transient background and ship signature conditions.This paper will describe the overall framework but also its scene rendering and scenario model updating capabilities. It is hoped that new use case evaluations might result from the presentation of these details to a wider Artificial Intelligence and Machine Learning Community.