Target recognition using multiple sensors

Neural Networks for Signal Processing III - Proceedings of the 1993 IEEE Workshop, NNSP 1993

Volumn , Issue , 1993, Pages 411-420

  Zhou, Y T ^a   Hecht Nielsen, R ^a  

^a HNC Software Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COGNITIVE SYSTEMS; ELECTRICAL ENGINEERING;

BIOLOGICALLY INSPIRED ALGORITHMS; IR SENSOR; MULTI SENSOR; MULTIPLE SENSORS; TARGET RECOGNITION;

SIGNAL PROCESSING;

EID: 85027648188     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NNSP.1993.471847     Document Type: Conference Paper

References (16)

1. M. K. Hu. "Visual Pattern Recognition by Moment Invariants". IRE Trans. Inofrmaiion Theory, pp. 179-187, Feb. 1962.
2. W. G. Pemberton, A. R. Sanders, J. M. Sura. "Techniques for Extraction of Mobile Missiles from Infrared Imagery". In Proc. Conference on Pattern Recognition for Advanced Missile Systems, Huntsville, AL, Nov. 1988.
3. P. S. Schenker, K. M. Wong, E. G. Cande. "Fast Adaptive Algorithms for Low-level Scene Analysis: Application of Polar Exponential Grid (PEG) Representation to High-Speed Scale and Rotation Invariant Target Segmentation". In Tech. Appl. Image Understanding, SPIE, vol. 281, pp. 47-57, 1981.
4. R. A. Messner and H. H. Szu. "Coordinate Transform from an Image Plane Directly to an Invariant Feature Space". In Proc. Conf. on Computer Vision and Pattern Recognition, pp. 522-530, Washington, D.C., 1983.
5. P. Cavanagh. "Image Transforms in the Visual System". In P. C. Dod-well and T. Caelli, editors, Figural Synthesis, pp. 185-218. Lawrence Erlbaum Associates, 1984.
6. F. A. Sadjadi. "Automatic Object Recognition: Critical Issues and Current Approaches". In Applications of Automatic Object Recognition, SPIE, vol. 1471, pp. 303-313, Orlando, Florida, April 1991.
7. G. A. Carpenter, S. Grossberg, G. W. Lesher. A What-and-Where Neural Network for Invariant Image Processing. Technical Report CAS/CNS-92-006, Center for Adaptive Systems, Boston University, Feb. 1992.
8. J. G. Daugman. "Complete Discrete 2-D Gabor Transforms by Neural Networks for Image Analysis and Compression". IEEE Trans, on Acoustics, Speech, Signal Processing, vol. ASSP-36, pp. 1169-1179, July 1988.
9. M. C. Morrone and D. C. Burr. "Feature Detection in Human Vision: A Phase Dependent Energy Model". Proc. Royal Society of London, vol. B-235, pp. 221-245, 1988.
10. Y. Y. Zeevi and R. Ginosar. "Neural Computers for Foveating Vision Systems". In R. Eckmiller, editor, Advanced Neural Computers, pp. 323-330. Elsevier Science Publishers B.V., North-Holland, 1990.
11. Y. T. Zhou and R. Crawshaw. "Contrast, Size and Orientation Invariant Target Detection in Infrared Imagery". In Applications of Automatic Object Recognition, SPIE, vol. 1471, pp. 404-411, Orlando, Florida, April 1991.
12. D. E. Rumelhart, G. E. Hinton, R. J. Williams. "Learning Internal Representations by Error Propagation". In D. E. Rumelhart and J. L. McClelland, editors, Parallel Distributed Processing, vol. 1, pp. 318-362. MIT Press, 1986.
13. R. Hecht-Nielsen. Neurocomputing. Addison-Wesley, Reading, MA, 1991.
14. D. B. Parker. Learning-Logic. Technical Report TR-47, Center for Computational Research in Economics and Management Science, 1985.
15. J. Makhoul, A. El-Jaroudi, R. Schwartz. "Formation of Disconnected Decision Regions with a Single Hidden Layer". In Proc. Intl. Joint Conf. on Neural Networks, vol. I, pp. 455-460, Washington, D.C., June 1989.
16. D. Hush, J. M. Salas, B. Home. "Error Surfaces for Multi-layer Perceptions". IEEE Trans. Syst., Man and Cybern., vol. 22, 1992.