Parallel tempering for strongly nonlinear geoacoustic inversion

Journal of the Acoustical Society of America

Volumn 132, Issue 5, 2012, Pages 3030-3040

  Dosso, Stan E ^a   Holland, Charles W ^b   Sambridge, Malcolm ^c  

^a UNIVERSITY OF VICTORIA   (Canada)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

^c AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC REVERBERATIONS; BAYESIAN FORMULATION; GEOACOUSTIC INVERSION; GEOACOUSTICS; MARKOV CHAIN MONTE CARLO; METROPOLIS-HASTINGS SAMPLINGS; MULTI-MODAL; OCEAN ACOUSTICS; PARALLEL TEMPERING; PARAMETER SPACES; PARAMETER UNCERTAINTY; POSTERIOR PROBABILITY; PRIOR INFORMATION; SAMPLE SIZES; SAMPLING TEMPERATURE; STANDARD SAMPLING METHODS; STRONGLY NONLINEAR;

INVERSE PROBLEMS; MARKOV PROCESSES; MONTE CARLO METHODS; PROBABILITY DISTRIBUTIONS; TEMPERING;

IMPORTANCE SAMPLING;

WATER;

ACOUSTICS; ALGORITHM; ARTICLE; BAYES THEOREM; GEOLOGY; METHODOLOGY; MONTE CARLO METHOD; MOTION; NONLINEAR SYSTEM; PROBABILITY; SEA; SEDIMENT; SIGNAL PROCESSING; SOUND;

ACOUSTICS; ALGORITHMS; BAYES THEOREM; GEOLOGIC SEDIMENTS; GEOLOGY; MARKOV CHAINS; MONTE CARLO METHOD; MOTION; NONLINEAR DYNAMICS; OCEANS AND SEAS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOUND; WATER;

EID: 84869131559     PISSN: 00014966     EISSN: None     Source Type: Journal    
DOI: 10.1121/1.4757639     Document Type: Article

References (35)

1. M. D. Collins, W. A. Kuperman, and H. Schmidt, Nonlinear inversion for ocean-bottom properties., J. Acoust. Soc. Am. 92, 2770-2783 (1992). 10.1121/1.404394
2. S. E. Dosso, M. L. Yeremey, J. M. Ozard, and N. R. Chapman, Estimation of ocean-bottom properties by matched-field inversion of acoustic field data., IEEE J. Ocean. Eng. 18, 232-239 (1993). 10.1109/JOE.1993.236361
3. M. D. Collins and L. Fishman, Efficient navigation of parameter landscapes., J. Acoust. Soc. Am. 98, 1637-1644 (1995). 10.1121/1.413430
4. P. Gerstoft, Inversion of acoustic data using a combination of genetic algorithms and the Gauss-Newton approach., J. Acoust. Soc. Am. 97, 2181-2190 (1995). 10.1121/1.411943
5. M. Siderius, P. Gerstoft, and P. Nielsen, Broadband geoacoustic inversion from sparse data using genetic algorithms., J. Comp. Acoust. 6, 117-134 (1998). 10.1142/S0218396X98000107
6. P. Gerstoft and Z.-H. Michalopoulou, Global optimization in matched field inversion, in Proceedings of the 4th European Conference on Underwater Acoustics (Italian National Research Council, Rome, 2000), pp. 27-32.
7. S. E. Dosso, M. J. Wilmut, and A.-L. S. Lapinski, An adaptive-hybrid algorithm for geoacoustic inversion., IEEE J. Ocean. Eng. 26, 324-336 (2001). 10.1109/48.946507
8. P. Gerstoft and C. F. Mecklenbräuker, Ocean acoustic inversion with estimation of a posteriori probability distributions., J. Acoust. Soc. Am. 104, 808-819 (1998). 10.1121/1.423355
9. S. E. Dosso and P. L. Nielsen, Quantifying uncertainty in geoacoustic inversion. II: Application to broadband, shallow-water data., J. Acoust. Soc. Am. 111, 143-159 (2002). 10.1121/1.1419087
10. D. J. Battle, P. Gerstoft, W. S. Hodgkiss, W. A. Kuperman, and P. L. Nielsen, Bayesian model selection applied to self-noise geoacoustic inversion., J. Acoust. Soc. Am. 116, 2043-2056 (2004). 10.1121/1.1785671
11. S. E. Dosso and M. J. Wilmut, Data uncertainty estimation in matched-field geoacoustic inversion., IEEE J. Ocean. Eng. 31, 470-479 (2006). 10.1109/JOE.2006.875099
12. D. Tollefson, S. E. Dosso, and M. J. Wilmut, Matched-field geoacoustic inversion with a horizontal array and low-level source., J. Acoust. Soc. Am. 120, 221-230 (2006). 10.1121/1.2205132
13. C. Yardim, P. Gerstoft, and W. S. Hodgkiss, Geoacoustic and source tracking using particle filtering: Experimental results., J. Acoust. Soc. Am. 128, 75-87 (2010). 10.1121/1.3438475
14. S. E. Dosso and J. Dettmer, Bayesian matched-field geoacoustic inversion., Inverse Probl. 27, 1-23 (2011). 10.1088/0266-5611/27/5/055009
15. M. Riedel, S. E. Dosso, and L. Beran, Uncertainty estimation for amplitude variation with offset (AVO) inversion., Geophysics 68, 1485-1496 (2003). 10.1190/1.1620621
16. S. E. Dosso and C. W. Holland, Geoacoustic uncertainties from visco-elastic inversion of seabed reflection data., IEEE J. Ocean. Eng. 31, 657-670 (2006). 10.1109/JOE.2005.858358
17. J. Dettmer, S. E. Dosso, and C. W. Holland, Uncertainty estimation in seismo-Acoustic reflection travel-time inversion., J. Acoust. Soc. Am. 122, 161-176 (2007). 10.1121/1.2736514
18. J. Dettmer, S. E. Dosso, and J. C. Osler, Bayesian evidence computation for model selection in nonlinear geoacoustic inference problems., J. Acoust. Soc. Am. 128, 3406-3415 (2010). 10.1121/1.3506345
19. H. Dong and S. E. Dosso, Bayesian inversion of interface-wave dispersion for seabed shear-wave velocity profiles., IEEE J. Ocean. Eng. 36, 1-11 (2011). 10.1109/JOE.2010.2100490
20. S. E. Dosso, P. L. Nielsen, and C. H. Harrison, Bayesian inversion of reverberation and propagation data for geoacoustic and scattering parameters., J. Acoust. Soc. Am. 125, 2867-2880 (2009). 10.1121/1.3106524
21. S. Ivansson, Parameter reduction and Laplace distributed data errors in connection with Bayesian reverberation inversion., in Proceedings of the 9th European Conference on Underwater Acoustics (Istanbul, 2010), pp. 543-551.
22. A. Tarantola, Inverse Problem Theory: Methods for Data Fitting and Model Parameter Estimation (Elsevier, Amsterdam, 1987), pp. 1-583.
23. W. R. Gilks, S. Richardson, and G. J. Spiegelhalter, Markov Chain Monte Carlo in Practice (Chapman and Hall, London, 1996), pp. 1-486.
24. M. Sambridge and K. Mosengaard, Monte Carlo methods in geophysical inverse problems., Rev. Geophys. 40, 3-1-3-29 (2002). 10.1029/2000RG000089
25. C. J. Geyer, Markov chain Monte Carlo maximum likelihood., in Computing Science and Statistics: Proceedings of the 23rd Symposium on the Interface (New York, 1991), pp. 156-163.
26. D. J. Earl and M. W. Deem, Parallel tempering: Theory, applications, and new perspectives., Phys. Chem. Chem. Phys. 7, 3910-3916 (2005). 10.1039/b509983h
27. A. Jasra, D. A. Stephens, and C. C. Holmes, On population-based simulation for static inference., Stat. Comp. 17, 263-279 (2007). 10.1007/s11222-007-9028-9
28. B. F. Brooks and L. N. Frazer, Importance reweighting reduces dependence on temperature in Gibbs samplers: An application to the inverse coseismic geodetic problem., Geophys. J. Int. 161, 12-20 (2005). 10.1111/j.1365-246X.2005. 02573.x
29. B. Nolte and L. N. Frazer, Vertical seismic profile inversion with genetic algorithms., Geophys. J. Int. 117, 162-179 (1992). 10.1111/j.1365-246X. 1994.tb03310.x
30. A. Malinverno, Parsimonious Bayesian Markov chain Monte Carlo inversion in nonlinear geophysical problems., Geophys. J. Int. 151, 675-688 (2002). 10.1046/j.1365-246X.2002.01847.x
31. S. E. Dosso and M. J. Wilmut, Uncertainty estimation in simultaneous Bayesian tracking and environmental inversion., J. Acoust. Soc. Am. 124, 82-97 (2008). 10.1121/1.2918244
32. D. R. Jackson, R. I. Odom, M. I. Boyd, and A. N. Ivankin, A geoacoustic bottom interaction model (GABIM)., IEEE J. Ocean. Eng. 35, 603-617 (2010). 10.1109/JOE.2010.2050170
33. A. Ivankin, A unified approach to volume and roughness scattering., J. Acoust. Soc. Am. 103, 827-837 (1999). 10.1121/1.421243
34. J. X. Zhou, The analytic method of angular power spectrum, range and depth dependence of the echo-to-reverberation ratio in shallow water sound field., Acta Acust. 5, 86-99 (1980).
35. J. E. Moe and D. R. Jackson, First-order perturbation solution for rough surface scattering cross section including the effects of gradient., J. Acoust. Soc. Am. 96, 1748-1754 (1994). 10.1121/1.410253