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Proceedings Paper

An integrated model of hard and soft context in sensor management
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Paper Abstract

The integration of hard (physical) and soft (meta-physical) contexts in an information fusion system requires the identification of the specific mission oriented goals which it is desired to achieve. Just as most sensors cannot acquire data omnidirectionally, it is not computationally feasible to evaluate all contexts within which acquired data can be understood by an information fusion system. We first define a notional problem consisting of operating and hiding areas and transit routes between them. We then define physical and meta-physical contexts within which data acquired from the observed area can be interpreted and define the piecewise application of context specific transformations to a partition of the global problem of understanding data in context.

Paper Details

Date Published: 17 May 2016
PDF: 10 pages
Proc. SPIE 9842, Signal Processing, Sensor/Information Fusion, and Target Recognition XXV, 98420M (17 May 2016); doi: 10.1117/12.2228745
Show Author Affiliations
Kenneth J. Hintz, George Mason Univ. (United States)
Ivan Kadar, Interlink Systems Sciences, Inc. (United States)

Published in SPIE Proceedings Vol. 9842:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXV
Ivan Kadar, Editor(s)

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