Paper
17 May 2016 An integrated model of hard and soft context in sensor management
Author Affiliations +
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.
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Kenneth J. Hintz and Ivan Kadar "An integrated model of hard and soft context in sensor management", Proc. SPIE 9842, Signal Processing, Sensor/Information Fusion, and Target Recognition XXV, 98420M (17 May 2016); https://doi.org/10.1117/12.2228745
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Data acquisition

Information fusion

Data fusion

Computing systems

Integrated modeling

Target acquisition

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