Supervised self-organizing classification of superresolution ISAR images: An anechoic chamber experiment

Eurasip Journal on Applied Signal Processing

Volumn 2006, Issue , 2006, Pages

  Radoi, Emanuel ^a   Quinquis, André ^a   Totir, Felix ^a,b  

^a ENSIETA   (France)

^b Romanian Military Equipment and Technologies Research Agency   (Romania)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC CLASSIFICATION; FEATURE VECTOR; SIGNAL CLASSIFICATION; SYMMETRY ENHANCEMENT;

AIRCRAFT MODELS; ANECHOIC CHAMBERS; AUTOMATIC PROGRAMMING; CLASSIFICATION (OF INFORMATION); IMAGE RECONSTRUCTION; OPTICAL RESOLVING POWER; VECTOR QUANTIZATION;

RADAR IMAGING;

EID: 33646402642     PISSN: 11108657     EISSN: 16870433     Source Type: Journal    
DOI: 10.1155/ASP/2006/35043     Document Type: Article

References (36)

1. A. Quinquis, E. Radoi, and F.-C. Totir, "Some radar imagery results using superresolution techniques," IEEE Transactions on Antennas and Propagation, vol. 52, no. 5, pp. 1230-1244, 4004.
2. E. Radoi and A. Quinquis, "A new method for estimating the number of harmonic components in noise with application in high resolution radar," EURASIP Journal on Applied Signal Processing, vol. 2004, no. 8, pp. 1177-1188, 2004.
3. V. G. Nebabin, Methods and Techniques of Radar Recognition, Artech House, London, UK, 1994.
4. R. Wehner, High Resolution Radar, Artech House, Boston, Mass, USA, 2nd edition, 1994.
5. J. W. Odendaal, E. Barnard, and C. W. I. Pistorius, "Two-dimensional superresolution radar imaging using the MUSIC algorithm," IEEE Transactions on Antennas and Propagation, vol. 42, no. 10, pp. 1386-1391, 1994.
6. P. Stoica and T. Söderström, "Statistical analysis of MUSIC and subspace rotation estimates of sinusoidal frequencies," IEEE Transactions on Signal Processing, vol. 39, no. 8, pp. 1836-1847, 1991.
7. A. Gersho and R. M. Gray, Vector Quantization and Signal Compression, Kluwer Academic Press/Springer, Boston, Mass, USA, 1992.
8. G. A. Carpenter and S. Grossberg, Pattern Recognition by Self-Organizing Neural Networks, MIT Press, Cambridge, Mass, USA, 1991.
9. T.-J. Shan, M. Wax, and T. Kailath, "On spatial smoothing for direction-of-arrival estimation of coherent signals," IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 33, no. 4, pp. 806-811, 1985.
10. M. Wax and T. Kailath, "Detection of signals by information theoretic criteria," IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 33, no. 2, pp. 387-392, 1985.
11. M. Desvignes, S. Langlois, J. M. Constans, and M. Revenu, "Phase unwrapping: geometric distortions correction on MRI," Traitement du Signal, vol. 17, no. 4, pp. 313-324, 2000.
12. Y. Wu and D. C. Munson Jr., "Wide-angle ISAR passive imaging using smoothed pseudo Wigner-Ville distribution," in Proceedings of the IEEE Radar Conference, pp. 363-368, Atlanta, Ga, USA, May 2001.
13. M. Kass, A. Witkin, and D. Terzopoulos, "Snakes: active contour models," International Journal of Computer Vision, vol. 1, no. 4, pp. 321-331, 1987.
14. C. Xu and J. L. Prince, "Snakes, shapes and gradient vector flow," IEEE Transactions on Image Processing, vol. 7, no. 3, pp. 359-369, 1998.
15. E. Persoon and K. S. Fu, "Shape discrimination using Fourier descriptors," IEEE Transactions on Systems, Man, and Cybernetics, vol. 7, no. 3, pp. 171-179, 1977.
16. M. R. Teague, "Image analysis via the general theory of moments," Journal of the Optical Society of America, vol. 70, no. 8, pp. 920-930, 1980.
17. M. K. Hu, "Visual pattern recognition by moment invariants," IRE Transactions on Information Theory, vol. 8, no. 2, pp. 179-187, 1962.
18. F. A. Sadjadi and E. E. Hall, "Three-dimensional moment invariants," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PAMI-2, no. 2, pp. 127-137, 1980.
19. G. Carpenter and S. Grossberg, "A massively parallel architecture for a self organizing neural pattern recognition machine," Computer Vision, Graphics, and Image Processing, vol. 37, no. 1, pp. 54-115, 1987.
20. S. Grossberg, "Adaptive pattern classification and universal recoding. II. Feedback, expectation, olfacation, and illusions," Biological Cybernetics, vol. 23, no. 4, pp. 187-202, 1976.
21. G. Carpenter and S. Grossberg, "ART 2: self-organization of stable category recognition codes for analog input patterns," Applied Optics, vol. 26, no. 23, pp. 4919-4930, 1987.
22. G. Carpenter and S. Grossberg, "ART3: hierarchical search using chemical transmitters in self-organizing pattern recognition architectures," Neural Networks, vol. 3, no. 2, pp. 129-152, 1990.
23. G. Carpenter, S. Grossberg, and D. B. Rosen, "ART2-A: an adaptive resonance algorithm for rapid category learning and recognition," Neural Networks, vol. 4, pp. 493-504, 1991.
24. G. Carpenter, S. Grossberg, and J. H. Reynolds, "ARTMAP: supervised real-time learning and classification of nonstationary data by a self-organizing neural network," Neural Networks, vol. 4, pp. 565-588, 1991.
25. G. Carpenter, S. Grossberg, and D. B. Rosen, "Fuzzy ART: fast stable learning and categorization of analog patterns by an adaptive resonance system," Neural Networks, vol. 4, pp. 759-771, 1991.
26. G. 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, vol. 3, no. 5, pp. 698-713, 1992.
27. G. Bartfai, "Hierarchical clustering with ART neural networks," Tech. Rep. CS-TR-94/1, Department ol Computer Science, Victoria University of Wellington, Wellington, New Zealand, 1994.
28. G. Bartfai, "An ART-based modular architecture for learning hierarchical clusterings," Tech. Rep. CS-TR-95/3, Department ol Computer Science, Victoria University of Wellington, Wellington, New Zealand, 1995.
29. I. M. I. Murre, R. H. Phaf, and G. Wolters, "CALM networks: a modular approach to supervised and unsupervised learning," in Proceedings of the International Joint Conference on Neural Networks, pp. 649-665, New York, NY, USA, 1989.
30. E. Radoi, A. Quinquis, and F. Totir, "Superresolution ISAR image classification using Fourier descriptors and SART neural network," in Proceedings of the European Conference on Synthetic Aperture Radar, Ulm, Germany, May 2004.
31. T. W. Rauber, D. Coltuc, and A. S. Steiger-Garção, "Multivariate discretization ol continuous attributes lor machine learning," in Proceedings of International Symposium on Methodologies for Intelligent Systems, pp. 80-94, Trondheim, Norway, June 1993.
32. L. Fausett, Fundamentals of Neural Networks: Architectures, Algorithms, and Applications, Prentice-Hall, Englewood Cliffs, NJ, USA, 1994.
33. C. M. Bishop, Neural Networks for Pattern Recognition, Oxford University Press, New York, NY, USA, 1995.
34. R. O. Duda, P. O. Hart, and D. G. Stork, Pattern Classification, John Wiley & Sons, New York, NY, USA, 2000.
35. J. M. Keller, R. Gray, and J. A. Givens, "A fuzzy k-nearest neighbor algorithm," IEEE Transactions on Systems, Man, and Cybernetics, vol. 15, no. 4, pp. 580-585, 1981.
36. P. A. Devijver and J. Kittler, Pattern Recognition: A Statistical Approach, Prentice-Hall, London, UK, 1982.