Aircraft and Cruise Missile Mission and Route Planning in Near Real-time

Aircraft and cruise missile mission and route planning is a time-consuming and inflexible operation today. This effort proposes to use cooperative-competitive neural networks and Hierarchical Scene Structures for multisource and multisensor data fusion procedures that will build flexible data structures. These structures can then be accessed by a route planning neural network to generate coordinated aircraft/missile strike planns in minutes instead of days. An innovative form of the cooperative-competitive neural network will perform matching of complex structures and determine global goodness of match measures, a valuable new technology applicable to many purposes. This is done by defining an intermediate form of data representation at the structure level to allow identification of distinctive combinations of regions and their features as well as the standard individual regions and their features.