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A fuzzy logic rule-based automatic target recognizer

✍ Scribed by Asghar Nafarieh; James M. Keller

Publisher
John Wiley and Sons
Year
1991
Tongue
English
Weight
832 KB
Volume
6
Category
Article
ISSN
0884-8173

No coin nor oath required. For personal study only.

✦ Synopsis

Methods for modeling and managing uncertainty in computer vision systems have received increased attention in recent years. Automatic target recognition is one application area of computer vision where the demands are particularly acute. In this article, fuzzy logic is proposed as a means of handling uncertainty in an expert system structure for automatic target recognition. A new technique for logical inference is described which is well-suited for this type of application. A prototype system has been developed and tested on multisensor and temporal images. The results are compared to a similar expert system which used a numeric uncertainty calculus.

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