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25 August 1992 Data integration (fusion) tree paradigm
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Abstract
Data integration (fusion) trees provide a top-down functional partitioning of the level 1 data fusion process. Since this process has exponential growth in complexity the fusion tree is selected to balance system performance with cost. The fusion tree defines the order in which the data is to be integrated. The data integration is specified at each fusion node to include common referencing, data association, and state estimation. The breadth of application of this paradigm is described herein.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christopher L. Bowman "Data integration (fusion) tree paradigm", Proc. SPIE 1698, Signal and Data Processing of Small Targets 1992, (25 August 1992); https://doi.org/10.1117/12.139385
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