1 November 1993 Target location by a multiaperture vision system coupled to a back-propagation neural network
Author Affiliations +
Optical Engineering, 32(11), (1993). doi:10.1117/12.148098
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.
William R. Clayton, Ronald G. Driggers, K. M. Harmon, "Target location by a multiaperture vision system coupled to a back-propagation neural network," Optical Engineering 32(11), (1 November 1993). http://dx.doi.org/10.1117/12.148098
JOURNAL ARTICLE
6 PAGES


SHARE
KEYWORDS
Sensors

Neural networks

Active sensors

Systems modeling

Data modeling

GRIN lenses

Target detection

Back to Top