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Start Over Author "Kim, Munchurl" Journal ieee transactions on image processing
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3. Target discrimination in synthetic aperture radar using artificial neural networks

Author

Principe, Jose C., Kim, Munchurl, and Fisher, John W., III

Subjects
Target acquisition -- Research, Synthetic aperture radar -- Image quality, Neural networks -- Research, Business, Computers, Electronics, Electronics and electrical industries
Abstract

Linear and nonlinear adaptive networks are used for target discrimination in synthetic aperture radar imagery. Problems associated with the two-parameter constant false alarm rate detector led to the use of the quadratic gamma discriminator (QGD) as a classifier. This classifier is further improved in terms of linear processing as a multilayer perceptron (MLP) topology called the nonlinear QGD (NL-QGD).

Published
1998

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