Current advances operational information fusion systems (IFSs) require common semantic ontologies for collection, storage, and access to multi intelligence information. One example is the connections between physics-based (e.g. video) and text-based (e.g. reports) describing the same situation. Situation, user, and mission awareness are enabled through a common ontology. In this paper, we utilize the uncertainty representation and reasoning evaluation framework (URREF) ontology as a basis for describing wide-area motion imagery (WAMI) analysis to determine uncertainty attributes. As part of the Evaluation of Technologies for Uncertainty Representation Working Group (ETURWG), both the URREF and a WAMI challenge problem are available for research purposes from which we provide an exemplar schema to link physics-based and text-based uncertainty representations to explore a common uncertainty demonstration.
The URREF ontology for semantic wide area motion imagery exploitation
01.07.2012
1170526 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Motion imagery processing and exploitation (MIPE)
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