Realtime image fusion and target learning & detection on a laptop attached processor

2005 7th International Conference on Information Fusion, FUSION

Volumn 1, Issue , 2005, Pages 499-506

  Fay, David ^a   Ilardi, Paul ^a   Sheldon, Nathan ^a   Grau, Daniel ^a   Biehl, Robert ^a   Waxman, Allen ^a  

^a BAE SYSTEMS   (United States)

Author keywords

Image fusion; Image mining; Neural networks; Night vision; Sensor fusion; Target learning

Indexed keywords

AUTOMATIC TARGET RECOGNITION; DATA ACQUISITION; LAPTOP COMPUTERS; LEARNING SYSTEMS; NEURAL NETWORKS; SENSOR DATA FUSION; SENSORS;

IMAGE FUSION; IMAGE MINING; NIGHT VISION; SENSOR FUSION; TARGET LEARNING;

IMAGE ANALYSIS;

EID: 33847160452     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIF.2005.1591896     Document Type: Conference Paper

References (22)

1. th International Conference on Information Fusion, Annapolis, 2002.
2. th International Conference on Information Fusion, Montreal, 2001.
3. rd International Conference on Information Fusion, Paris, 2000.
4. rd International Conference on Information Fusion, Paris, 2000.
5. rd International Conference on Information Fusion, Paris, 2000.
6. Also see (same authors) Fusion of 2-/3-/4-Sensor Imagery for Visualization, Target Learning and Search, in Proceeds of the SPIE Conference on Enhanced and Synthetic Vision 2000, SPIE-4023, pp.106-115, 2000.
7. th International Conference on Information Fusion, Montreal, 2001.
8. Also see (same authors) Fusion of Multisensor Passive and Active 3D Imagery, in Proceeds of the SPIE Conference on Enhanced and Synthetic Vision 2001, SPIE-4363, pp. 219-230, 2001.
9. E.A. Newman and P.H. Hartline, The infrared vision of snakes, Scientific American, 246 (March), 116-127, 1982.
10. P. Schiller, and N.K. Logothetis, The coloropponent and broad-band channels of the primate visual system, Trends in Neuroscience, TINS-13, 392-398, 1990.
11. P. Gouras, Color vision, Chapter 31 in Principles of Neural Science (E.R. Kandel, J.H. Schwartz and T.M. Jessell, editors), pp. 467-480, New York: Elsevier Science Publishers, 1991.
12. S. Grossberg, Nonlinear neural networks: Principles, mechanisms and architectures, Neural Networks, 1, 17-61, 1988.
13. nd edition, Mahwah, NJ: Lawrence Erlbaum Associates, 2000.
14. J.G. Daugman, Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters, J. Optical Society of America A, 2, pp. 1160-1169, 1985.
15. S. Grossberg and E. Mingolla, Neural dynamics of perceptual grouping: Textures, boundaries and emergent segmentations, Perception & Psychophysics, 38, 141-171, 1985.
16. A.M. Waxman, M.C. Seibert, A. Gove, D.A. Fay, A.M. Bernardon, C. Lazott, W.R. Steele, and R.K. Cunningham, Neural processing of targets in visible, multispectral IR and SAR imagery, Neural Networks, 8, 1029-1051, 1995.
17. G.A. Carpenter, S. Grossberg, and D.B. Rosen, Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system, Neural Networks, 4, 759-771, 1991.
18. G.A. Carpenter, S. Grossberg, N. Markuzon, J.H. Reynolds, and D.B. Rosen, Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps, IEEE Transactions on Neural Networks, 3, pp. 698-713, 1992.
19. T. Kasuba, Simplified Fuzzy ARTMAP, AI Expert, pp. 18-25, Nov 1993.
20. http://www.sensorsinc.com/
21. http://www.iews.na.bacsystems.com/iris/
22. http://www.matrox.com/