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Survey of neural network technology for automatic target recognition
- Source :
- IEEE Transactions on Neural Networks. 1:28-43
- Publication Year :
- 1990
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 1990.
-
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. >
- Subjects :
- Artificial neural network
Computer Networks and Communications
business.industry
Computer science
Feature extraction
General Medicine
Machine learning
computer.software_genre
Automation
Expert system
Computer Science Applications
Automatic target recognition
Artificial Intelligence
Pattern recognition (psychology)
Artificial intelligence
business
Adaptation (computer science)
computer
Software
Subjects
Details
- ISSN :
- 10459227
- Volume :
- 1
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Neural Networks
- Accession number :
- edsair.doi.dedup.....775e11fe2ad3995aaebf49356bc6de22