1990
DOI: 10.1117/12.21151
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<title>Artificial neural networks for automatic target recognition</title>

Abstract: This paper will review recent advances in the applications of artificial neural network technology to problems in automatic target recognition. The application of feedforward networks for segmentation, feature extraction, and classification of targets in Forward Looking Infrared (FLIR) and laser radar range scenes will be presented. Biologically inspired Gabor functions will be shown to be a viable alternative to heuristic image processing techniques for segmentation. The use of local transforms, such as the G… Show more

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Cited by 6 publications
(3 citation statements)
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“…A particular open question we investigated was whether performance can be enhanced by using a neural network to recognize subtle differences in global features. Neural networks have been successfully applied to many image-classification problems (Perantonis and Lisboa, 1992;Rogers et al, 1990). Neural networks can run fast, can examine many competing hypotheses simultaneously, can perform well with noise and distortion, and can avoid local minima unlike variants of Newton's method for optimization.…”
Section: Methodsmentioning
confidence: 99%
“…A particular open question we investigated was whether performance can be enhanced by using a neural network to recognize subtle differences in global features. Neural networks have been successfully applied to many image-classification problems (Perantonis and Lisboa, 1992;Rogers et al, 1990). Neural networks can run fast, can examine many competing hypotheses simultaneously, can perform well with noise and distortion, and can avoid local minima unlike variants of Newton's method for optimization.…”
Section: Methodsmentioning
confidence: 99%
“…The scalar function x à Px is a Lyapunov function of the system. Set Q as I and insert I into equation (18). This leads to…”
Section: Field-oriented Control Of Pmsm Mathematical Model Of the Motormentioning
confidence: 99%
“…Moreover, the neural network has the characteristic of being able to approximate any nonlinear continuous function at any arbitrary accuracy. [14][15][16][17][18][19] The third problem is the accuracy of the feedback position. The lag and error of the position signal will have a negative effect to the control system.…”
Section: Introductionmentioning
confidence: 99%