Title :
Survey of neural network technology for automatic target recognition
Author :
Roth, Michael W.
Author_Institution :
Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD, USA
fDate :
3/1/1990 12:00:00 AM
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;
Journal_Title :
Neural Networks, IEEE Transactions on