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First-principle approach to functionally decomposing the JDL fusion model: Emphasis on soft target data

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2 Author(s)
Antony, R.T. ; SAIC, Washington, VA ; Karakowski, J.A.

The paper summarizes work to date directed at defining a service-based functional decomposition of the fusion process. The resulting architecture accommodates (1) traditional sensor data, as well as human-generated input, (2) streaming and nonstreaming data, and (3) the fusion of both physical and non-physical entities. Fifteen base level fusion services are identified then utilized to construct a service-based decomposition of JDL fusion model levels 0 - 2. Concepts, such as clustering, link analysis and database mining, that have traditionally been only loosely associated with the fusion process, are shown to play key roles within this framework. A pedigree summary metric is defined that characterizes the informational distance between individual fused products and source data.

Published in:

Information Fusion, 2008 11th International Conference on

Date of Conference:

June 30 2008-July 3 2008

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