Written with a minimum of technical jargon, this unique, easy-to-understand book strengthens your understanding of the key principles behind efficient approaches to data fusion problem-solving and database management system design, and connects these principles to help you design better, more effective fusion algorithms.
Introduction and Perspectives. Data Fusion Process Model. Examples of the 16 Canonical Problem-Solving Forms. Conventional Problem-Solving Paradigms. Algorithm Issue Summary. Database Requirements. Database Design Considerations. Integrated Semantic/Spatial Database Kernel. Database Extensions. Database Issues Summary. Summary of Algorithm and Database Principles. Hierarchical, Spatial, and Temporal Reasoning. Comprehensive Examples. Conclusions and Future Directions.
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Richard T. Antony
Richard T. Antony is a retired Chief Scientist formerly of Leidos Corporation and VSG. He received both BS and MS degrees in Electrical Engineering from the University of Maryland. Mr. Antony holds one US patent and is the recipient of both the US Army R&D Achievement and the Joe Mignogna data fusion awards.