Automatic target recognition using a modular neural network with directional variance features

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3030, Issue , 1997, Pages 76-87

  Wang, Lin Cheng ^a   Der, Sandor ^b   Rizvi, Syed A ^c   Nasrabadi, Nasser M ^b  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

^b U S ARMY RESEARCH LABORATORY   (United States)

^c CITY UNIVERSITY OF NEW YORK   (United States)

Author keywords

Automatic target recognition (ATR); Forward looking infrared (FLIR); Multi resolution feature extraction; Neural network; Stacked generalization

Indexed keywords

AUTOMATIC TARGET RECOGNITION; NEURAL NETWORKS;

CLASSIFICATION DECISION; FORWARD LOOKING INFRARED; FORWARDLOOKING INFRARED IMAGERY (FLIR); FULLY CONNECTED NEURAL NETWORK; MODULAR NEURAL NETWORKS; MULTI-RESOLUTION FEATURE; PROBABILITY OF CORRECT CLASSIFICATIONS; STACKED GENERALIZATION;

IMAGE PROCESSING;

EID: 0037625971     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.269768     Document Type: Conference Paper

References (6)

1. B. Bhanu, "Automatic target recognition: state of the art survey", IEEE Trans. Aerospace Elect Sys., vol. AES-22, no. 4, pp. 364-379, July 1986.
2. S. S. Haykin, Neural Networks: A Comprehensive Foundation, Macmillan College Publishing Co., 1994.
3. D. H. Wolpert, "Stacked Generalization", Neural Networks, vol. 5, no. 2, pp. 241-260, 1992.
4. H. Moravec, Robot Rover Visual Navigation, Ann Arbor, MI: U. M. I. Research Press, 1981.
5. M. P. Perrone, "General averaging results for convex optimization", in Proc. Connectionist Models Summer School, pp. 364-371, 1993
6. L. M. Fu, H.-H. Hsu, and J. C. Principle, "Incremental backpropagation learning networks", IEEE Trans. Neural Networks, vol. 7, no. 3, pp. 757-761, May 1996.