Survey of neural network technology for automatic target recognition

Author

Roth, Michael W.

Author_Institution

Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD, USA

Volume

1

Issue

1

fYear

1990

fDate

3/1/1990 12:00:00 AM

Firstpage

28

Lastpage

43

Abstract

A review is presented of ATR (automatic target recognition), and some of the highlights of neural network technology developments that have the potential for making a significant impact on ATR are presented. In particular, neural network technology developments in the areas of collective computation, learning algorithms, expert systems, and neurocomputer hardware could provide crucial tools for developing improved algorithms and computational hardware for ATR. The discussion covers previous ATR system efforts. ATR issues and needs, early vision and collective computation, learning and adaptation for ATR, feature extraction, higher vision and expert systems, and neurocomputer hardware

Keywords

computer vision; computerised pattern recognition; expert systems; learning systems; neural nets; automatic target recognition; collective computation; computer vision; computerised pattern recognition; expert systems; learning algorithms; neural network; neurocomputer; Artificial intelligence; Computer networks; Data mining; Expert systems; Infrared detectors; Laser radar; Neural network hardware; Neural networks; Signal processing; Target recognition;

fLanguage

English

Journal_Title

Neural Networks, IEEE Transactions on

Publisher

ieee

ISSN

1045-9227

Type

jour

DOI

10.1109/72.80203

Filename

80203