Simulation of infrared, radar, and other imaging sensors plays an important role in the planning and rehearsal of military missions and in the training of mission personnel. The challenge is to develop technology that can use recently acquired intelligence information to quickly simulate cockpit sensor displays that accurately represent the real world while insuring correlation with the out-the-window displays and among the sensors.

This paper describes a novel, neural-network-based technique for infrared and radar image simulation directly from multi-spectral imagery. Source imagery, its processing using neural networks, and infrared and radar image simulation results are presented.