DocumentCode :
2351164
Title :
Automatic target recognition using a constructive approach
Author :
Vargas, Ernesto Cuadros ; De Sousa, Humberto Costa ; De Carvalho, Andre
Author_Institution :
Comput. Intelligence Lab., Sao Paulo Univ., Brazil
fYear :
1998
fDate :
9-11 Dec 1998
Firstpage :
112
Lastpage :
117
Abstract :
This paper presents the use of constructive neural networks for pattern recognition. The work presented here is part of the SAPRI project (System for Acquisition, Processing and Image Recognition) which is being developed for the Brazilian Navy. The objective of this paper is to investigate the behavior of constructive neural networks in image recognition tasks, specially with images from the SAPRI project. Constructive neural networks differ from standard networks due to their ability to change their own number of elements, adding or removing units and connections. Four constructive algorithms are presented in this paper: cascade correlation, tower, pyramid and upstart
Keywords :
image recognition; military computing; neural nets; radar imaging; radar target recognition; Brazilian Navy; SAPRI; automatic target recognition; cascade correlation; constructive neural networks; image acquisition; image processing; image recognition; pattern recognition; pyramid algorithm; tower algorithm; upstart algorithm; Decision support systems; Target recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1998. Proceedings. Vth Brazilian Symposium on
Conference_Location :
Belo Horizonte
Print_ISBN :
0-8186-8629-4
Type :
conf
DOI :
10.1109/SBRN.1998.731005
Filename :
731005
Link To Document :
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