Paper
23 May 2011 A multi-agent infrastructure for hard and soft information fusion
Jeffrey C. Rimland, David L. Hall
Author Affiliations +
Abstract
Current needs in tactical situational awareness require a new type of infrastructure to encode, transmit, store, fuse, and display vastly heterogeneous data that may include "hard" sensor types including video, radar, multispectral, acoustic sensor array, 3D flash LIDAR, and "soft" sensor inputs such as textual reports from trained and untrained personnel, unsolicited and solicited open source web information, and hybrid "hard/soft" data such as human-annotated image or video data - which can be highly useful, but difficult to categorize and exploit. While the demand for scalability, rapid deployment, and decentralized access to data and services grows, the need for data security and integrity is as critical as ever. Methods for handling the conflicting needs between access and security are addressed. Furthermore, the evolving role of humans in data fusion systems must be addressed by the infrastructure. In addition to systems enhancing human data analysis capabilities through advanced visualization and sonification techniques, the data itself is more likely to contain information about humans - which is not always a task well suited to conventional data storage and retrieval methods. This paper describes a multi-agent approach to designing a secure, distributed, service-oriented infrastructure to support human-centric hard and soft information fusion.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeffrey C. Rimland and David L. Hall "A multi-agent infrastructure for hard and soft information fusion", Proc. SPIE 8062, Defense Transformation and Net-Centric Systems 2011, 80620D (23 May 2011); https://doi.org/10.1117/12.883870
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Computing systems

Data modeling

Information fusion

Data fusion

Data storage

Cognition

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