Material Encoded Textures with Computer Generated Forces (CGF)

"Historically, Human-In-The-Loop (HITL) simulators have utilized battle space models designed to present a view of the battle space to a human. The view could be a typical "out-the-window" view or a view produced by a sensor, such as an infrared navigationpod or a night vision device. Thus, a battle space model for each type of view would have to be constructed from imagery appropriate to the sensor type. This arrangement presents difficulties in correlation between the models and is time consumingbecause of the duplication of the battle space. Furthermore, the models consist of radiometric response images that are of little use to a CGF simulation. In recent years, the Navy developed a method whereby a single battle space model could be used forall the views presented by a HITL simulation. Rather than build a battle space model based on the optical response of materials, which results in a waveband-dependent model, the model is constructed of material-encoded imagery. CGF simulations stand tobenefit greatly from the advent of material-encoded imagery digital battle space models. The overall objective of this proposal is to identify hardware and software approaches for the design and development of a Computer Generated Forces/Semi-AutomatedForces (SAF) System that is not constrained by current polygon/vector based methods of scene rendering, but takes advantage of material-encoded imagery digital battle space models. The comme