The key barrier to realizing new capabilities in high-fidelity mobile missile launch model and predication is the data fusion of existing software military, commercial and academia software assets. Examples include feature extraction, analytics, domain models, and image processing. Heuristic based approaches such as knowledge-based mediated data fusion are also readily available. In the domain of military data fusion and display systems, mission changes result in requirement changes and thus integration of new capabilities is the most significant problem. The key technical innovation of new capabilities is the most significant problem. The key technical innovation is the dynamic (run-time) integration of data sources and software assets. The promise of component-based data fusion is to enable developers and end-users to "snap together" new launch models or tactical decision applications by mixing and matching prefabricated software components. With Air Force guidance, a selected set of missile simulation software, libraries and data will be transformed into components. Users will be able to assemble custom applications from components located anywhere on the network while developers continue to add new components. Reusable components will result in significant reductions in the cost of military missile launch tactical decision applications development, test, and upgrade.
Benefits: I-Kinetics will use Phase II results to target a rapidly growing market for legacy application data fusion. The market size for data fusion and application integration is expected to grow from $0.8 Billion to $10 BIllion by 2002. Commercial applications such as sonsumer data analysis, telemetry feeds analysis and scenrio
