Paper
10 June 2014 Decisions-to-Data using Level 5 information fusion
Author Affiliations +
Abstract
Over the last decade, there has been interest in presenting information fusion solutions to the user and ways to incorporate visualization, interaction, and command and control. In this paper, we explore Decisions-to-Data (D2D) in information fusion design: (1) sensing: from data to information (D2I) processing, (2) reporting: from human computer interaction (HCI) visualizations to user refinement (H2U), and (3) disseminating: from collected to resourced (C2R) information management. D2I supports net-centric intelligent situation awareness that includes processing of information from non-sensor resources for mission effectiveness. H2U reflects that completely automated systems are not realizable requiring Level 5 user refinement for efficient decision making. Finally, C2R moves from immediate data collection to fusion of information over an enterprise (e.g., data mining, database queries and storage, and source analysis for pedigree). By using D2I, H2U, and C2R concepts, they serve as informative themes for future complex information fusion interoperability standards, integration of man and machines, and efficient networking for distribution user situation understanding.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Erik Blasch "Decisions-to-Data using Level 5 information fusion", Proc. SPIE 9079, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR V, 907903 (10 June 2014); https://doi.org/10.1117/12.2050264
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Cited by 14 scholarly publications.
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KEYWORDS
Information fusion

Clouds

Data fusion

Data modeling

Data storage

Sensors

Data processing

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