Paper
16 August 2001 Situation assessment and impact assessment activities in information fusion
Michael L. Hinman
Author Affiliations +
Abstract
This paper will provide a description of multiple research efforts in the area of information fusion being conducted at the Fusion Technology Branch, Air Force Research Laboratory. It will describe a series of innovative approaches of traditional fusion algorithms that heuristic reasoning techniques to improve situational assessment and threat prediction. Major features of the presentation will cover Bayesian techniques, Knowledge Based approaches, Artificial Neural Systems (Neural Networks), Fuzzy Logic, and Genetic Algorithms.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael L. Hinman "Situation assessment and impact assessment activities in information fusion", Proc. SPIE 4380, Signal Processing, Sensor Fusion, and Target Recognition X, (16 August 2001); https://doi.org/10.1117/12.436962
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Fuzzy logic

Genetic algorithms

Information fusion

Neural networks

Analytical research

Data modeling

Data fusion

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