DocumentCode :
2965436
Title :
Automatic target recognition using modularly cascaded vector quantizers and multilayer perceptrons
Author :
Chan, Lipchen A. ; Nasrabadi, Nasser M. ; Mirelli, Vincent
Author_Institution :
Dept. of Electr. & Comput. Eng., State Univ. of New York, Buffalo, NY, USA
Volume :
6
fYear :
1996
fDate :
7-10 May 1996
Firstpage :
3386
Abstract :
An automatic target recognition classifier is constructed of a set of vector quantizers (VQs) and multilayer perceptrons (MLPs) that are modularly cascaded. A dedicated VQ codebook is constructed for each target at a specific range of aspects. Each codebook is a set of block feature templates that are iteratively adapted to represent a particular target at a specific range of aspects. These templates are further trained by a modified learning vector quantization (LVQ) algorithm that enhances their discriminatory power. The mean squared errors resulting from matching the input image with the block templates in each each codebook are input to an array of window MLPs (WMLPs). Each WMLP is trained to recognize its intended-target at a specific range of aspects. The outputs of the WMLPs are manipulated and fed into a target MLP (TMLP) that produces the final recognition results. A recognition rate of 65.3 percent is achieved on a highly cluttered test set
Keywords :
image classification; image coding; image matching; infrared imaging; learning (artificial intelligence); military systems; multilayer perceptrons; vector quantisation; LVQ algorithm; automatic target recognition classifier; block feature templates; cluttered test set; dedicated VQ codebook; forward looking infrared imagery; input image matching; mean squared errors; military targets; modified learning vector quantization; modularly cascaded vector quantizers; multilayer perceptrons; recognition rate; recognition results; Books; Electronic mail; Gabor filters; Impedance matching; Iterative algorithms; Laboratories; Multilayer perceptrons; Pixel; Target recognition; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
ISSN :
1520-6149
Print_ISBN :
0-7803-3192-3
Type :
conf
DOI :
10.1109/ICASSP.1996.550604
Filename :
550604
Link To Document :
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