Target detection in M-disparate sonar platforms using multichannel hypothesis testing

OCEANS 2008

Volumn , Issue , 2008, Pages

  Tucker, James D ^a   Klausner, Nick ^a   Azimi Sadjadi, Mahmood R ^a  

^a Department of Mechanical Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BROADBAND SONAR; CLASSIFICATION PERFORMANCE; DATA SETS; DETECTION SYSTEM; DIFFERENT FREQUENCY; FALSE ALARM RATE; FINAL DECISION; HIGH FREQUENCY SONAR; HIGH RESOLUTION; HYPOTHESIS TESTING; LOW RESOLUTION; MINE-LIKE OBJECTS; MULTI-CHANNEL; NEYMAN PEARSON DETECTORS; PROBABILITY OF DETECTION; RECEIVER OPERATING CHARACTERISTIC CURVES; SIDESCAN SONAR IMAGERY; SONAR PLATFORM; TARGET DETECTION; TEST RESULTS;

CLUTTER (INFORMATION THEORY); LEARNING ALGORITHMS; MINING; OCEANOGRAPHY; STATISTICAL TESTS; TARGET DRONES; TARGETS; UNDERWATER ACOUSTICS;

SONAR;

EID: 70350132400     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/OCEANS.2008.5151818     Document Type: Conference Paper

References (14)

1. G. J. Dobeck, J. Hyland, and L. Smedley, "Automated detection/classification of sea mines in sonar imagery," Proc. SPIE, vol. 3079, pp. 90-110, April 1997.
2. G. J. Dobeck, "Fusing sonar images for mine detection and classification," Proc. SPIE, vol. 3710, pp. 602-614, April 1999.
3. T. Aridgides, P. Libera, M. Fernandez, and G. J. Dobeck, "Adaptive filter/feature orthogonalization processing string for optimal LLRT mine classification in side-scan sonar imagery," Proc. SPIE, vol. 2765, pp. 110-121, April 1996.
4. T. Aridgides and M. Fernandez, "Enhanced atr algorithm for high resolution multi-band sonar imagery," Proc. SPIE, vol. 6953, pp. 0H1-0H10, March 2008.
5. V. Chandran, S. Elgar, and A. Nguyen, "Detection of mines in acoustic images using higher order spectral features," IEEE Journal of Oceanic Engineering, vol. 27, no. 3, pp. 610-618, July 2002.
6. M. Azimi-Sadjadi and J. D. Tucker, "Target detection from dual disparate sonar platforms using canonical correlations," Proc. SPIE, vol. 6953, pp. 0J1-0J10, March 2008.
7. L. Scharf and C. Mullis, "Canonical coordinates and the geometry of inference, rate, and capacity," IEEE Transactions on Signal Processing, vol. 48, no. 3, pp. 824-891, March 2000.
8. A. Pezeshki, M. Azimi-Sadjadi, and L. Scharf, "Undersea target classification using canonical correlation analysis," Oceanic Engineering, IEEE Journal of, vol. 32, no. 4, pp. 948-955, Oct. 2007.
9. J. D. Tucker, M. R. Azimi-Sadjadi, and G. J. Dobeck, "Canonical coordinates for detection and classification of underwater objects from sonar imagery," OCEANS 2007 - Europe, pp. 1-6, 18-21, June 2007.
10. L. L. Scharf and B. D. Van Veen, "Low rank detectors for Gaussian random vectors," IEE Trans. Acoust., Speech, Signal Process., vol. 35, no. 11, pp. 1579-1582, Nov 1987.
11. A. Pezeshki, L. Scharf, J. K. Thomas, and B. D. Van Veen, "Canonical coordiantes are the right coordinates for low-rand Gauss-Gauss detection and estimation," IEEE Trans. Signal Process., vol. 54, no. 12, pp. 4817-4820, Dec 2006.
12. G. H. Golub and C. F. V. Loan, Matrix Computations, 3rd ed. John Hopkins University Press, 1996.
13. W. Key, "Side scan sonar technology," Proc. Oceans'00, vol. 2, pp. 1029-1033, Sept 2000.
14. S. Butler, "Triply resonant broadband transducers," Oceans '02 MTS/IEEE, vol. 4, pp. 2334-2341 vol.4, 29-31 Oct. 2002.