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Optical Engineering

Target location by a multiaperture vision system coupled to a back-propagation neural network
Author(s): William R. Clayton; Ronald G. Driggers; K. M. Harmon
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Paper Abstract

A software simulation of a multiaperture vision system (MAVS) that locates a point-source target by means of a neural network processor is presented. Models are developed and tested for one-, three-, and nine-eyelet systems. The advantages and limitations of each MAVS system are discussed. A back-propagation neural network is developed and trained as a target-location processor for each system. The accuracy of the neural network in determining the spatial position of a point-source target placed inside the field of view is then determined. The performance of each of the three systems is compared, and the accuracy of the system is shown to increase with the addition of more eyelets.

Paper Details

Date Published: 1 November 1993
PDF: 6 pages
Opt. Eng. 32(11) doi: 10.1117/12.148098
Published in: Optical Engineering Volume 32, Issue 11
Show Author Affiliations
William R. Clayton, Memphis State Univ. (United States)
Ronald G. Driggers, Memphis State Univ. (United States)
K. M. Harmon, Memphis State Univ. (United States)

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