High-quality HRR ATR system using an improved neural recognition chain

Author

Vizitiu, Iulian-constantin ; Popescu, Florin ; Stoica, Adrian

Author_Institution

Commun. & Electron. Syst. Dept., Mil. Tech. Acad., Bucharest, Romania

fYear

2010

fDate

10-12 June 2010

Firstpage

217

Lastpage

220

Abstract

One of the most recent technique to design an efficient ATR system is to use high-resolution radar (HRR) imagery as input information flow. To increase the quality of such system, an interesting approach is to use powerful artificial neural networks inside of its recognition chain. Consequently, an improved neural recognition function based on modified feature extraction and selection methods and respectively, on genetic optimized RBF network architecture is described. Finally, to confirm the broached theoretical aspects, a real HRR image database was also used.

Keywords

feature extraction; genetic algorithms; radar imaging; radial basis function networks; HRR image database; artificial neural networks; feature extraction; genetic optimized RBF network architecture; high-quality HRR ATR system; high-resolution radar imagery; information flow; neural recognition chain; Artificial neural networks; Equations; Feature extraction; Genetic algorithms; Image databases; Image recognition; Military communication; Optimization methods; Radar imaging; Radar scattering; ATR systems; HRR imagery; RBF neural networks; genetic algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications (COMM), 2010 8th International Conference on

Conference_Location

Bucharest

Print_ISBN

978-1-4244-6360-2

Type

conf

DOI

10.1109/ICCOMM.2010.5509104

Filename

5509104