Cueing, feature discovery, and one-class learning for synthetic aperture radar automatic target recognition

• Published in: Neural networks Vol. 8; no. 7; pp. 1081 - 1102
• Main Authors: Koch, Mark W., Moya, Mary M., Hostetler, Larry D., Fogler, R.Joseph
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.01.1995; Elsevier Science
• Subjects: Applied sciences; Automatic target recognition; Cueing using focus-of-attention; Exact sciences and technology; Feature discovery using Neocognitron and generalized Hebbian algorithm; Information, signal and communications theory; One-class classification using adaptive resonance theory (ART 2-A); Partial obscuration recognition using hyperstar metric; Pattern recognition; Signal processing; Synthetic aperture radar; Telecommunications and information theory; Partial obscuration recognition using hyperstar metric; Feature discovery using Neocognitron and generalized Hebbian algorithm; Automatic target recognition; Cueing using focus-of-attention; One-class classification using adaptive resonance theory (ART 2-A); Synthetic aperture radar; Learning; Modular architecture; Identification; Pattern recognition; Neural network; Automatic recognition; Pattern extraction

The exquisite capabilities of biological neural systems for recognizing target patterns subject to large variations have motivated us to investigate neurophysiologically-inspired techniques for automatic target recognition. This paper describes a modular multi-stage architecture for focus-of-attenti...