Classification of unexploded ordnance using incomplete multisensor multiresolution data

IEEE Transactions on Geoscience and Remote Sensing

Volumn 45, Issue 7, 2007, Pages 2364-2373

  Williams, David ^a,b   Wang, Chunping ^b   Liao, Xuejun ^a,b   Carin, Lawrence ^a,b  

^a IEEE   (United States)

^b Duke University   (United States)

Author keywords

Classification; Incomplete data; Missing data; Multiresolution; Multisensor; Unexploded ordnance (UXO)

Indexed keywords

INCOMPLETE DATA; MISSING DATA; UNEXPLODED ORDNANCE (UXO);

CLASSIFICATION (OF INFORMATION); ELECTROMAGNETIC INDUCTION; FEATURE EXTRACTION; MAGNETOMETERS; MULTIRESOLUTION ANALYSIS; PROBABILITY DENSITY FUNCTION; SENSOR DATA FUSION;

ORDNANCE;

EID: 34347252218     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2007.896558     Document Type: Conference Paper

References (30)

1. S. Billings, C. Pasion, S. Walker, and L. Berans, "Magnetic models of unexploded ordnance," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 8, pp. 2115-2124, Aug. 2006.
2. S. Chilaka, D. Faircloth, L. Riggs, and H. Nelson, "Enhanced discrimination among UXO-like targets using extremely low-frequency magnetic fields," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 1, pp. 10-21, Jan. 2006.
3. C. Moss, T. Grzegorczyk, K. O'Neill, and J. Kong, "A hybrid time-domain model of electromagnetic induction from conducting, permeable targets," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 10, pp. 2916-2926, Oct. 2006.
4. K. Sun, K. O'Neill, F. Shubitidze, I. Shamatava, and K. Paulsen, "Fast data-derived fundamental spheroidal excitation models with application to UXO discrimination," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 11, pp. 2573-2583, Nov. 2005.
5. J. Stalnaker, M. Everett, A. Benavides, and C. Pierce, "Mutual induction and the effect of host conductivity on the EM induction response of buried plate targets using 3-d finite-element analysis," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 2, pp. 251-259, Feb. 2006.
6. S. Hart, R. Shaffer, S. Rose-Pehrsson, and J. McDonald, "Using physics-based modeler outputs to train probabilistic neural networks for unexploded ordnance (UXO) classification in magnetometry surveys," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 4, pp. 797-804, Apr. 2001.
7. C. Nelson, C. Cooperman, W. Schneider, D. Wenstrand, and D. Smith, "Wide bandwidth time-domain electromagnetic sensor for metal target classification," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 6, pp. 1129-1138, Jun. 2001.
8. Y. Zhang, L. Collins, H. Yu, C. Baum, and L. Carin, "Sensing of unexploded ordnance with magnetometer and induction data: Theory and signal processing," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 5, pp. 1005-1015, May 2003.
9. A. Willsky, "Multiresolution Markov models for signal and image
10. processing," Proc. IEEE, vol. 90, no. 8, pp. 1396-1458, Aug. 2002.
11. H. Choi and R. Baraniuk, "Multiscale image segmentation using wavelet-domain hidden Markov models," IEEE Trans. Image Process., vol. 10, no. 9, pp. 1322-1331, Sep. 2001.
12. J. Li, R. Gray, and R. Olshen, "Multiresolution image classification by hierarchical modeling with two dimensional hidden Markov models," IEEE Trans. Inf. Theory, vol. 46, no. 5, pp. 1826-1841, Aug. 2000.
13. S. Mallat, A Wavelet Tour of Signal Processing. New York: Academic, 1998.
14. C. Li and R. Wilson, "Image segmentation based on a multiresolution Bayesian framework," in Proc. IEEE Int. Conf. Image Process., 1998, pp. 761-765.
15. C. Bouman and B. Liu, "Multiple resolution segmentation of textured images," IEEE Trans. Pattern Anal. Mach. Intell., vol. 13, no. 2, pp. 99-113, Feb. 1991.
16. C. Bouman and M. Shapiro, "A multiscale random field model for Bayesian image segmentation," IEEE Trans. Image Process., vol. 3, no. 2, pp. 162-177, Mar. 1994.
17. D. Rubin, Multiple Imputation for Nonresponse in Surveys. Hoboken, NJ: Wiley, 1987.
18. D. Williams, X. Liao, Y. Xue, and L. Carin, "Incomplete-data classification using logistic regression," in Proc. Int. Conf. Mach. Learn., 2005, pp. 977-984.
19. M. Opper and O. Winther, "Gaussian processes and SVM: Mean field and leave-one-out," in Advances in Large Margin Classifiers, A. Smola, P. Bartlett, B. Schölkopf, and D. Schuurmans, Eds. Cambridge, MA: MIT Press, 2000, pp. 311-326.
20. P. McCullagh and J. Nelder, Generalized Linear Models, 2nd ed. London, U.K.: Chapman & Hall, 1989.
21. D. Williams, "Classification and data acquisition with incomplete data," Ph.D. dissertation, Duke Univ., Durham, NC, 2006.
22. C. Baum, Ed., Detection and Identification of Visually Obscured Targets. New York: Taylor & Francis, 1998.
23. L. Carin, H. Yu, Y. Dalichaouch, A. Perry, P. Czipott, and C. Baum, "On the wideband EMI response of a rotationally symmetric permeable and conducting target," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 6, pp. 1206-1213, Jun. 2001.
24. N. Geng, C. Baum, and L. Carin, "On the low-frequency natural response of conducting and permeable targets," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 1, pp. 347-359, Jan. 1999.
25. W. Panofsky, Classical Electricity and Magnetism. Reading, MA: Addison-Wesley, 1962.
26. X. Liao and L. Carin, "Application of the theory of optimal experiments to adaptive electromagnetic-induction sensing of buried targets," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 8, pp. 961-972, Aug. 2004.
27. W. Press, B. F. S. Teukolsky, and W. Vetterling, Numerical Recipes in C: The Art of Scientific Computing, 2nd ed. Cambridge, U.K.: Cambridge Univ. Press, 1992.
28. H. Nelson and J. McDonald, "Multisensor towed array detection system for UXO detection," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 6, pp. 1139-1145, Jun. 2001.
29. J. Hanley and B. McNeil, "The meaning and use of the area under a receiver operating characteristic (ROC) curve," Radiology, vol. 143, no. 1, pp. 29-36, Apr. 1982.
30. R. Tsai and T. Huang, "Multi-frame image restoration and registration," Adv. Comput. Vis. Image Process., vol. 1, pp. 317-339, 1984.