Buried underwater object classification using a collaborative multiaspect classifier

IEEE Journal of Oceanic Engineering

Volumn 34, Issue 1, 2009, Pages 32-44

  Cartmill, Jered ^a,b   Wachowski, Neil ^a   Azimi Sadjadi, Mahmood R ^a  

^a Engineering Research Center and Hydraulics Laboratory   (United States)

^b Argon ST   (United States)

Author keywords

Bayes classification; Buried object scanning sonar system; Collaborative decision making; Underwater target classification

Indexed keywords

BAYES CLASSIFICATION; BURIED OBJECT SCANNING SONAR SYSTEM; CLASSIFICATION FUSIONS; CLASSIFICATION SYSTEMS; COLLABORATIVE DECISION MAKING; DECISION-FEEDBACK STRATEGIES; DECISION-LEVEL FUSIONS; FINAL DECISIONS; MINE-LIKE OBJECTS; MULTIASPECT; NUMBER OF FALSE ALARMS; UNDERWATER OBJECTS; UNDERWATER TARGET CLASSIFICATION;

ALARM SYSTEMS; DECISION MAKING; SCANNING; TARGETS; UNDERWATER ACOUSTICS;

SONAR;

EID: 67349155013     PISSN: 03649059     EISSN: None     Source Type: Journal    
DOI: 10.1109/JOE.2008.2008041     Document Type: Article

References (23)

1. L. L. Scharf and C. T. Mullis, "Canonical coordinates and the geometry of inference, rate, and capacity," IEEE Trans. Signal Process., vol. 48, no. 3, pp. 824-831, Mar. 2000.
2. A. Pezeshki, M. R. Azimi-Sadjadi, and L. L. Scharf, "Undersea target classification using canonical correlation analysis," IEEE J. Ocean. Eng., vol. 32, no. 4, pp. 948-955, Oct. 2007.
3. M. Yamada, J. Cartmill, and M. R. Azimi-Sadjadi, "Buried underwater target classification using the new BOSS and canonical correlation decomposition feature extraction," in Proc. MTS/IEEE OCEANS Conf. Aug. 2005, vol. 1, pp. 589-596.
4. M. R. Azimi-Sadjadi, D. Yao, and G. J. Dobeck, "Underwater target classification using wavelet packets and neural networks," IEEE Trans. Neural Netw., vol. 11, no. 3, pp. 784-794, May 2000.
5. M. Robinson, M. R. Azimi-Sadjadi, and J. Salazar, "Multiaspect target discrimination using hidden Markov models and neural networks," IEEE Trans. Neural Netw., vol. 16, no. 2, pp. 447-459, Mar. 2005.
6. P. Runkle, B. Bharadwaj, L. Couchman, and L. Carin, "Hidden Markov models for multi-aspect target classification," IEEE Trans. Signal Process., vol. 47, no. 7, pp. 2035-2040, Jul. 1999.
7. P. Bharadwaj, P. Runkle, and L. Carin, "Target identification with wave-based matched pursuits and hidden Markov models," IEEE Trans. Antennas Propag., vol. 47, no. 10, pp. 1543-1554, Oct. 1999.
8. N. Dasgupta, P. Runkle, L. Couchman, and L. Carin, "Dual hidden Markov model for characterizing wavelet coefficients from multi-aspect scattering data," Signal Process., vol. 81, pp. 1303-1316, Jun. 2001.
9. J. Shihao, L. Xuejun, and L. Carin, "Adaptive multiaspect target classification and detection with hidden Markov models," I EEE Sensors J., vol. 5, no. 5, pp. 1035-1042, Oct. 2005.
10. M. R. Azimi-Sadjadi, D. Yao, A. Jamshidi, and G. J. Dobeck, "A biologically inspired adaptive underwater target classification using a multi-aspect decision feedback unit," in Proc. MTS/IEEE OCEANS Conf. Oct. 2002, vol. 1, pp. 38-45.
11. Z. Chair and P. K. Varshney, "Distributed Bayesian hypothesis testing with distributed data fusion," IEEE Trans. Syst. Man Cybern., vol. SMC-18, pp. 695-699, Sep./Oct. 1988.
12. D. F. Specht, "Probabilistic neural network," Neural Netw., vol. 3, pp. 109-118, 1990.
13. P. K. Varshney, Distributed Detection and Data Fusion, 1st ed. New York: Springer-Verlag, 1997.
14. S. Haykin, Neural Networks, 2nd ed. Upper Saddle River, NJ: Prentice-Hall, 1999.
15. S. Chen, B. Mulgrew, and S. McLaughlin, "Adaptive Bayesian equalizer with decision feedback," IEEE Trans. Signal Process., vol. 41, no. 9, pp. 2918-2927, Sep. 1993.
16. S. Chen, B. Mulgrew, and P. Grant, "A clustering technique for digital communications channel equalization using radial basis function networks," IEEE Trans. Neural Netw., vol. 4, no. 4, pp. 570-579, Jul. 1993.
17. S. G. Schock and J. Wulf, "Imaging performance of BOSS using SAS processing," in Proc. MTS/IEEE OCEANS Conf., Sep. 2006, pp. 1-5.
18. G. Allen, G. Sulzberger, J. Bono, J. Pray, and T. Clem, "Initial evaluation of the new real-time tracking gradiometer designed for small unmanned underwater vehicles," in Proc. MTS/IEEE OCEANS Conf., 2005, vol. 3, pp. 1956-1962.
19. S. G. Schock, A. Tellier, J. Wulf, J. Sara, and M. Ericksen, "Buried object scanning sonar," IEEE J. Ocean. Eng., vol. 26, no. 4, pp. 677-689, Oct. 2001.
20. N. Wachowski and M. R. Azimi-Sadjadi, "Buried underwater target classification using frequency subband coherence analysis," in Proc. MTS/IEEE OCEANS Conf., Quebec City, QC, Canada, Sep. 15-18, 2008, ISBN: 978-1-4244-2620-1, Library of Congress: 2008904879, IEEE Catalog Number: CFP08OCE-CDR.
21. R. Duda, P. Hart, and D. G. Storke, Pattern Classification. New York: Wiley, 2001.
22. N. Wachowski, J. Cartmill, and M. R. Azimi-Sadjadi, "Underwater target classification using the wing BOSS and multi-channel decision fusion," in Proc. SPIE Defense Security, Apr. 2007, vol. 6553, pp. Q1-Q10.
23. J. Cartmill, M. R. Azimi-Sadjadi, and N. Wachowski, "Buried underwater object classification using a collaborative multi-aspect classifier," in Proc. IEEE Int. Joint Conf. Neural Netw., Aug. 2007, pp. 1807-1812.