Active impulsive echo discrimination in shallow water by mapping target physics-derived features to classifiers

IEEE Journal of Oceanic Engineering

Volumn 22, Issue 1, 1997, Pages 66-79

  Shin, Frances B ^a,c,d,e,f,g   Kil, David H ^a   Wayland, Richard F ^b,g  

^a Advanced Concepts and Development   (United States)

^b NAVAL AIR WARFARE CENTER   (United States)

^c UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^d POLYTECHNIC UNIVERSITY   (United States)

^e ARIZONA STATE UNIVERSITY   (United States)

^f Eta Kappa Nu ^*  (United States)

^g IEEE   (United States)

Author keywords

Active classification; Feature optimization; Image compression; Integrated pattern recognition paradigm; Target physics

Indexed keywords

ACOUSTIC SIGNAL PROCESSING; ALGORITHMS; IMAGE COMPRESSION; MAPPING; OPTIMIZATION; PATTERN RECOGNITION; SIGNAL DETECTION; SONAR; WATER;

ACTIVE CLASSIFICATION; ECHO DISCRIMINATION; FEATURE OPTIMIZATION; TARGET PHYSICS;

CLASSIFICATION (OF INFORMATION);

EID: 0030702967     PISSN: 03649059     EISSN: None     Source Type: Journal    
DOI: 10.1109/48.557541     Document Type: Article

References (30)

1. R. J. Urick, Principles of Undewater Sound for Engineers. New York: McGraw-Hill, 1967.
2. F. Shin and D. Kil, "Full-spectrum signal processing using a classify-before-detect paradigm," J. Acoust. Soc. Amer., vol. 99, no. 4, pt. I, pp. 2188-2197, Apr. 1996.
3. N. Lee and S. C. Schwartz, "Robust transient signal detection using the oversampled Gabor representation," IEEE Trans. Signal Processing, vol. 43, pp. 1498-1501, June 1995.
4. D. Kil and F. Shin, Pattern Recognition and Prediction with Applications to Signal Characterization. Woodbury, NY: AIP, 1996.
5. D. Kil, F. Shin, and R. Fricke, "LFA target echo characterization with hidden Markov models and classifiers," J. Underwater Acoust., special issue on multisensor fusion, vol. 41, July 1995.
6. J. Jeong and W. J. Williams, "Kernel design for reduced interference distributions," IEEE Trans. Signal Processing, vol. 40, pp. 402-412, Feb. 1992.
7. C. N. Corrado, Jr., "Mid-frequency acoustic backscattering from finite cylindrical shells and the influence of Helical membrane waves," Ph.D. dissertation, MIT, Cambridge, MA, 1993.
8. F. Shin. D. Kil, and G. Dobeck, "Impacts of image compression on automatic target recognition," in Proc. IEEE Oceans Conf., Ft. Lauderdale, FL, Sept. 1996, pp. 943-948.
9. H. I. Choi and W. J. Williams, "Improved time-frequency representation of multicomponent signals using exponential kernels," IEEE Trans. Acoust., Speech. Signal Processing, vol. 37, pp. 862-871, 1989.
10. O. Ghitza, "Auditory models and human performance in tasks related to speech coding and speech recognition," IEEE Trans. Speech Audio Processing, vol. 2, pt. II, pp. 115-132, Jan. 1994.
11. D. Kil and F. Shin, "Reduced dimension image compression and its applications," in Proc. Int. Conf. Image Processing, Washington, DC, Oct. 1995, vol. III, pp. 500-503.
12. M. Wax, "Detection and estimation of superimposed signals," Ph.D. dissertation, Stanford University, Stanford, CA, 1985.
13. C. L. Nikias and M. R. Raghuverr, "Bispectrum estimation: A digital signal processing framework," Proc. IEEE, vol. 75, pp. 869-891, 1987.
14. C. S. Myers, A. Singer, F. Shin, and E. Church, "Modeling chaotic systems with hidden Markov models," in Proc. ICASSP'92, San Francisco, CA, Apr. 1992, vol. IV, pp. 565-568
15. R. F. Wayland, D. Bromley, D. Pickett, M. E. Farrell, and A. Pasamanta, "Dimensionality, prediction, and determinism in the analysis of real boadband data," in AIP Conf. Proc. 296, R. A. Katz, Ed., 1994, pp. 289-297.
16. A. S. Weigend and N. A. Gershenfeld, Time Series Predication. Reading, MA: Addison-Wesley, 1994.
17. D. W. Tufts, D. H. Kil, and R. R. Slater, "Reverberation suppression and modeling," Ocean Reverberation, D. D. Ellis, J. R. Preston, and H. G. Urban, Eds. Boston, MA: Kluwer Academic, 1993.
18. L. R. Rabiner, "A tutorial on hidden Markov models and selected applications in speech recognition," Proc. IEEE, vol. 77, pp. 257-285, Feb. 1989.
19. K.-Y. Su and C.-H. Lee, "Speech recognition using weighted HMM and subspace projection approaches," IEEE Trans. Speech Audio Processing, vol. 2, pt. I, pp. 69-79, Jan. 1994.
20. D. Kil and F. Shin, "Performance comparison of various conventional and neural network classifiers on the mid-frequency active single ping data," a final confidential report delivered to Naval Undersea Warfare Center (NUWC), Jan. 1994, Contract N66604-93-C-0827.
21. L. D. Servi and Y.-C. Ho, "Recursive estimation in the presence of uniformly distributed measurement noise," IEEE Trans. Automat. Contr., vol. AC-26, pp. 563-565, Apr. 1981.
22. Y. Wong and E. Posner, "A new clustering algorithm applicable to multispectral and polarimetric SAR images," IEEE Trans. Geosci. Remote Sensing, vol. 31, pp. 634-644, May 1993.
23. R. O. Duda and P. E. Hart, Pattern Classification and Scene Analysis. New York: Wiley, 1973.
24. K. Fukunaga, R. Hayes, and L. Novak, "The acquisition probability for a minimum distance one-class classifier," IEEE Trans. Aerosp. Electron. Syst., vol. AES-23, pp. 493-499, July 1987.
25. D. Kil and F. Shin, "Feature-based multisensor fusion and performance quantification using sufficient statistics," in Proc. IEEE Oceans Conf., Ft. Lauderdale, FL, Sept. 1996, pp. 925-928.
26. _, "A unified approach to hierarchical classification," in Proc. ICASSP'96, Atlanta, GA, May 1996, vol. VI, pp. 3430-3433.
27. K. Fukunaga, Introduction to Statistical Pattern Recognition. New York: Academic, 1972.
28. D. F. Specht and H. Romsdahl, "Experience with adaptive probabilistic neural networks and adaptive general regression neural networks," in Proc. IEEE Int. Conf. Neural Networks, Orlando, FL, July 1994.
29. R. L. Streit and T. E. Luginbuhl, "Maximum likelihood training of probabilistic neural networks," NUSC Tech. Memo 911277, Dec. 1991.
30. B. Shahshahani and D. Landgrebe, "Classification of multi-spectral data by joint supervised-unsupervised learning," TR-EE-94-1, Purdue University, Lafayette, IN, Jan. 1994.