Recent advances to nonlinear minimum average correlation energy filters

Optical Engineering

Volumn 36, Issue 10, 1997, Pages 2697-2709

  Fisher III, John W ^a,b,c   Principe, Jose C ^a,b,d,e  

^a International Society for Optics and Photonics   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

^c CNEL   (United States)

^d J Crayton Pruitt Family Department of Biomedical Engineering   (United States)

^e IEEE

Author keywords

Correlation fillers; Correlation pattern recognition; Inverse synthetic aperture radar; Neural networks

Indexed keywords

EID: 0004592933     PISSN: 00913286     EISSN: None     Source Type: Journal    
DOI: 10.1117/1.601518     Document Type: Article

References (19)

1. J. Fisher and J. C. Principe, "A nonlinear extension of the MACE filter," Neural Net. 8(7-8), 1131-1141 (1995).
2. C. F. Hester and D. Casasent, "Multivariant technique for multiclass pattern recognition," Appl. Opt. 19, 1758-1761 (1980).
3. A. Mahalanobis, B. V. K. Vijaya Kumar, and D. Casasent, "Minimum average correlation energy filters," Appl. Opt. 26(17), 3633-3640 (1987).
4. T. Kohonen, Self-Organization and Associative Memory, 2nd ed., Springer Series in Information Sciences, Vol. 8, Springer-Verlag, New York (1988).
5. J. Fisher and J. C. Principe, "Formulation of the MACE filter as a linear associative memory," in Proc. IEEE Int. Conf. Neural Networks, Vol. 5, pp. 2934-2937 (1994).
6. K. Funahashi, "On the approximate realization of continuous mappings by neural networks," Neural Net. 2(3), 183-192 (1989).
7. D. Casasent and G. Ravichandran, "Advanced distortion-invariant minimum average correlation energy (MACE) filters," Appl. Opt. 31(8), 1109-1116 (1992).
8. C. Bishop, Neural Networks for Pattern Recognition, p. 11, Clarendon Press, Oxford (1995).
9. P. Réfrégier and J. Figue, "Optimal trade-off filter for pattern recognition and their comparison with Weiner approach," Opt. Comp. Process. 1, 3-10 (1991).
10. B. V. K. Vijaya Kumar, "Minimum variance synthetic discriminant functions," J. Opt. Soc. Am. A 3(10), 1579-1584 (1986).
11. D. Casasent, G. Ravichandran, and S. Bollapragada, "Gaussian minimum average correlation energy filters," Appl. Opt. 30(35), 5176-5181 (1991).
12. G. Ravichandran and D. Casasent, "Minimum noise and correlation energy filters," Appl. Opt. 31(11), 1823-1833 (1992).
13. J. Fisher and J. C. Principé, "Experimental results using a nonlinear extension of the MACE filter," in Optical Panern Recognition VI, Proc. SPIE 2490, 41-52 (1995).
14. A. Mahalanobis, B. V. K. Vijaya Kumar, S. Song, S. R. F. Sims, and J. F. Epperson; "Unconstrained correlation filters," Appl. Opt. 33(33), 3751-3759 (1994).
15. S. I. Sudharsanan, A. Mahalanobis, and M. K. Sundareshan, "A unified framework for the synthesis of synthetic discriminant functions with reduced noise variance and sharp correlation structure," Appl. Opt. 30(35), 5176-5181 (1991).
16. B. V. K. Vijaya Kumar, J. D. Brasher, C. F. Hester, G. Srinivasan, and S. Bollapragada, "Synthetic discriminant functions for recognition of images on the boundary of the convex hull of the training set," Pattern Recog. 27(4), 543-548 (1994).
17. J. Gerbrands, "On the relationships between SVD, KLT, and PCA," Pattern Recog. 14, 375-381 (1981).
18. G. Gheen, "Design of considerations for low-clutter, distortion-invariant correlation filters," Opt. Eng. 29(9), 1029-1032 (1990).
19. B. Kumar, "Tutorial survey of composite filter designs for optical correlators," Appl. Opt. 31(23), 4773-4801 (1992).