Radiation field estimation using a Gaussian mixture

2009 12th International Conference on Information Fusion, FUSION 2009

Volumn , Issue , 2009, Pages 2247-2254

  Morelande, Mark R ^a   Skvortsov, Alex ^b  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b DEFENCE SCIENCE AND TECHNOLOGY ORGANISATION   (Australia)

Author keywords

Bayesian estimation; Radiological field estimation

Indexed keywords

ACCURATE ESTIMATION; BAYESIAN ESTIMATION; BAYESIAN ESTIMATORS; GAUSSIAN APPROXIMATIONS; GAUSSIAN MIXTURES; GAUSSIANS; LARGE CLASS; MONTE CARLO; PARAMETRIC APPROACH; PROGRESSIVE CORRECTION; RADIATION FIELD; RADIOLOGICAL FIELD ESTIMATION; SPATIAL DISTRIBUTION; SPATIALLY DISTRIBUTED SENSORS; WEIGHTED SUM;

BAYESIAN NETWORKS; INFORMATION FUSION; MIXTURES; RADIOLOGY; SIZE DISTRIBUTION;

ESTIMATION;

EID: 70449387109     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. M. Drews, B. Lauritzen, H. Madsen, and J. Smith, "Kalman filtration of radiation monitoring data from atmospheric dispersion of radioactive materials," Radiation Protection Dosimetry, vol. 111, no. 3, pp. 257-269, 2004.
2. H. Jeong, M. Han,W. Hwang, and E. Kim, "Application of data assimilation to improve the forecasting capability of an atmospheric dispersion model for a radioactive plume," Annals of Nuclear Energy, vol. 35, no. 5, pp. 838-844, 2008.
3. S. Brennan, A. Mielke, and D. Torney, "Radioactive source detection by sensor networks," IEEE Transactions on Nuclear Science, vol. 52, no. 3, pp. 813-819, 2005.
4. Y. Cheng and T. Singh, "Source term estimation using convex optimization," in Proceedings of the International Conference on Information Fusion, Cologne, Germany, 2008.
5. J. Howse, L. Ticknor, and K. Muske, "Least squares estimation techniques for position tracking of radioactive sources," Automatica, vol. 37, pp. 1727-1737, 2001.
6. M. Morelande, B. Ristic, and A. Gunatilaka, "Detection and parameter estimation of multiple radioactive sources," in Proceedings of the International Conference on Information Fusion, Quebec, Canada, 2007.
7. R. Nemzek, J. Dreicer, D. Torney, and T. Warnock, "Distributed sensor networks for detection of mobile radioactive sources," IEEE Transactions on Nuclear Science, vol. 51, no. 4, pp. 1693-1700, 2004.
8. M. Banham and A. Katsaggelos, "Digital image restoration," IEEE Signal Processing Magazine, pp. 24-41, March 1997.
9. J. Kalifa and S. Mallat, "Thresholding estimators for linear inverse problems and deconvolutions," The Annals of Statistics, vol. 31, no. 1, pp. 58-109, 2003.
10. P. Hansen, "The truncated SVD as a method for regularisation," BIT Numerical Mathematics, vol. 27, pp. 534-553, 1987.
11. J. Park and I. Sandberg, "Approximation and radial-basis-function networks," Neural Computation, vol. 5, pp. 305-316, 1993.
12. C. Musso, N. Oudjane, and F. Le Gland, "Improving regularised particle filters," in Sequential Monte Carlo Methods in Practice, A. Doucet, N. de Freitas, and N. Gordon, Eds. New York: Springer-Verlag, 2001.
13. J. Park and I. Sandberg, "Universal approximation using radial-basis-function networks," Neural Computation, vol. 3, pp. 246-257, 1991.
14. I. Sandberg, "Gaussian radial basis functions and inner product spaces," Circuits Systems and Signal Processing, vol. 20, no. 6, pp. 635-642, 2001.
15. M.Morelande, B.Moran, andM. Brazil, "Bayesian node localisation in wireless sensor networks," in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Las Vegas, USA, 2008.
16. F. Daum and J. Huang, "Particle flow for nonlinear filters with log-homotopy," in Proceedings of SPIE, vol. 6969, San Diego, USA, 2008.
17. S. Challa and D. Koks, "Bayesian and Dempster-Shafer fusion," Sadhana, vol. 29, no. 2, pp. 145-176, 2004.
18. Y. Ho and R. Lee, "A Bayesian approach to problems in stochastic estimation and control," IEEE Transactions on Automatic Control, vol. 9, pp. 333-339, 1964.
19. A. Jazwinski, Stochastic Processes and Filtering Theory. Academic Press, 1970.
20. J. Liu, Monte Carlo Strategies in Scientific Computing. Springer, 2008.
21. B. Silverman, Density Estimation for Statistics and Data Analysis. Chapman and Hall, 1986.
22. E. MacRae, "Matrix derivatives with an application to an adaptive decision problem," The Annals of Statistics, vol. 2, no. 2, pp. 337-346, 1974.
23. P. Dwyer, "Some applications of matrix derivatives in multivariate analysis," Journal of the American Statistical Association, vol. 62, no. 318, pp. 607-625, 1967.