<title>Sensor image simulation using neural networks</title>

Abstract

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 will support the rapid use of reconnaissance imagery to generate cockpit sensor displays that accurately represent the real world while insuring correlation among the out-the-window scenes and sensor displays. This paper describes a novel, neural-network-based technique for infrared and radar image simulation directly from multi-spectral imagery (MSI). Source imagery, its processing using neural networks, and infrared and radar image simulation results are presented. Issues related to MSI database generation are also described.