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