Paper
29 March 1988 Artificial Intelligence In Aided Target Recognition
Frank F. Holly, Sadanand Srivastava
Author Affiliations +
Abstract
Currently, the main problem with automated target recognizers (ATRs) is not a low hit rate but rather a high false alarm rate. The use of multiple sensors has frequently been proposed as a means of reducing this false alarm rate. Less frequently proposed has been the use of a soldier "in the loop". Adding a human to the system requires a careful consideration of soldier-ATR interface issues-a consideration which heretofore has been nearly absent. We propose an integration concept in which the activities of the man and the ATR are tightly woven, and they are able to facilitate each other's tasks. We also introduce the term "recognition enhancement" and propose it as a name for the discipline which studies and attempts to improve aided target recognition performance.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Frank F. Holly and Sadanand Srivastava "Artificial Intelligence In Aided Target Recognition", Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); https://doi.org/10.1117/12.947011
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KEYWORDS
Target recognition

Sensors

Automatic target recognition

Detection and tracking algorithms

Artificial intelligence

CRTs

Data fusion

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