Acoustic backscatter classification for mine detection using multiple fused aspects and novel database classification rules

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3392, Issue , 1998, Pages 357-368

  Barnes, Christopher F ^a  

^a GEORGIA TECH RESEARCH INSTITUTE   (United States)

Author keywords

Acoustical backscatter; Mine detection; Nearest neighbor classifiers

Indexed keywords

ACOUSTIC VARIABLES MEASUREMENT; ACOUSTIC WAVE BACKSCATTERING; ACOUSTICS; AUTONOMOUS UNDERWATER VEHICLES; CLASSIFIERS; INTEGRATED OPTICS; LEARNING SYSTEMS; MINING; POLLUTION; REMEDIATION; SEARCH ENGINES; SEAWATER; SIGNAL PROCESSING; SUBMERSIBLES; TARGETS; UNDERWATER EQUIPMENT; WATER CRAFT;

ACOUSTIC BACKSCATTERS; ACOUSTICAL BACKSCATTER; AREA COVERAGE RATES; CLASSIFICATION RULES; CLASSIFICATION SYSTEMS; COMPUTATIONAL RESOURCES; DATABASE SEARCHES; INTEGRATED SYSTEMS; LITTORAL ENVIRONMENTS; LONG RANGES; MATHEMATICAL STRUCTURES; MINE DETECTION; MINE-LIKE OBJECTS; NEAREST NEIGHBOR CLASSIFIERS; REAL TIME; RESEARCH PROBLEMS; SEA MINES; SEARCH TEMPLATES; SENSING MECHANISMS; SENSOR SUITES; TARGET INFORMATIONS; TARGET SIGNATURES; U.S. NAVIES;

MINES;

EID: 0001731983     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.324208     Document Type: Conference Paper

References (28)

1. C. F. Barnes and R. L. Frost. Vector quantizers with direct sum codebooks. IEEE Transactions on Information Theory, 39(2):565-580, March 1993.
2. C. F. Barnes, S. Rizvi, and N. Nasrabadi. Residual vector quantization: A review. IEEE Transactions on Image Processing, 5(2):226-262, February 1996.
3. C. F. Barnes, "Sea mine detection with a nearest neighbor classifier based on residual vector quantization," Proceedings of SPIE, Vol. 2765, pp 167-178, April 9-12, 1996.
4. C. F. Barnes. Fast search nearest neighbor classification based on structured templates. In SPIE, volume 3079, Orlando, FL, 21-25 April 1997.
5. B. H. Juang and A. H. Gray. Multiple stage vector quantization for speech coding. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, volume 1, pages 597-600, April 1982.
6. C. F. Barnes. Residual Quantizers. PhD thesis, Brigham Young University, Provo, UT, December 1989.
7. W.-Y. Chan. Product Code Vector Quantization Methods with Application to High Fidelity Audio Coding. PhD thesis, University of California, Santa Barbara, December 1991.
8. C. F. Barnes and R. L. Frost. Necessary conditions for the optimality of residual vector quantizers. In Abstracts of the IEEE International Symposium on Information Theory, page 34, San Diego, CA, January 14-19, 1990.
9. C. F. Barnes and R. L. Frost. Image Mathematics and Image Processing, volume 84 of Advances in Electronics and Electron Physics, chapter Residual Vector Quantizers with Jointly Optimized Code Books, pages 1-59. Academic Press, 1992. Edited by P. W. Hawkes.
10. R. M. Gray, K. L. Oehler, K. O. Perlmutter, and R. A. Olshen. Combining tree-structured vector quantization with classification and regression trees. In Proceedings of the Twenty-Seventh Annual Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 1-3, 1993.
11. J. MacQueen. Some methods for classification and analysis of multivariate observations. In Proc. of the Fifth Berkeley Symposium on Math. Stat. and Prob., volume 1, pages 281-297, 1967.
12. S. P. Lloyd. Least squares quantization in PCM. Bell Laboratories Technical Note, 1957. Published in the March 1982 Special Issue on Quantization: IEEE Transactions on Information Theory, Part 1, 28:129-137.
13. R. M. Gray. Vector quantization. IEEE Acoustics, Speech and Signal Processing Magazine, 1:4-29, April 1984.
14. G. F. Hughes. On the mean accuracy of statistical pattern recognizers. IEEE Transactions on Information Theory, 14(1):55-63, 1968.
15. K. Fukunaga and D. M. Hummels. Bias of nearest neighbor error estimates. IEEE Transactions on Pattern Analysis and Machine Intelligence, 9(1):103-112, January 1987.
16. G. Lugosi and K. Zeger. Concept learning using complexity regularization. IEEE Transactions on Information Theory, 42(1):48-54, January 1996.
17. S. Raudys. A bootstrap technique for nearest neighbor classifier design. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(1):73-79, January 1997.
18. S. Raudys. On dimensionality, sample size, and classification error of nonparametric linear classification algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(6):667-671, June 1997.
19. R. Gorman. Analysis of hidden units in a layered network trained to classify sonar targets. Neural Networks, 1:75-89, 1988.
20. H. H. Szu B. A. Telfer and G. J. Dobeck. Adaptive wavelet classification of acoustic backscatter. In SPIE, volume 2242, 1994.
21. L. L. Burton and H. Lai. Active sonar imaging and classification system. In SPIE, volume 3079, Orlando, FL, 20-25 April 1997.
22. T. Kohonen. An introduction to neural computing. Neural Networks, 1:3-16, 1988.
23. A. LaVigna. Nonparametric Classification Using Learning Vector Quantization. PhD thesis, University of Maryland, 1989.
24. T. Kohonen, G. Barna, and R. Chrisley. Statistical pattern recognition with neural networks: Benchmarking studies. In IEEE International Conference on Neural Networks, volume I, pages 61-68, July 1988.
25. T. Kohonen. Self-Organization and Associative Memory. Springer-Verlag, Berlin, Germany, third edition, 1989.
26. C. J. Stone. Consistent nonparametric regression. Annals of Statistics, 5:595-645, 1977.
27. P. C. Cosman, K. L. Oehler, E. A. Riskin, and R. M. Gray. Using vector quantization for image processing. Proceedings of the IEEE, 81(9):1326-1341, September 1993.
28. R. O. Duda and P. E. Hart. Pattern Classification and Scene Analysis. Wiley, New York, 1973.