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Impulse Backscattering based Detection and Imaging of Shallow Buried Objects

Published online by Cambridge University Press:  11 February 2011

Surajit Sen ,
Donald P. Visco Jr  and
T. R. Krishna Mohan
Surajit Sen
Affiliation:
Department of Physics, State University of New York at Buffalo, Buffalo, New York 14260–1500, USA
Donald P. Visco Jr
Affiliation:
Department of Chemical Engineering, Tennessee Technological University Cookeville, Tennessee 38505, USA
T. R. Krishna Mohan
Affiliation:
Department of Physics, State University of New York at Buffalo, Buffalo, New York 14260–1500, USA and CSIR Center for Mathematical Modelling and Computer Simulation, Bangalore 560037, India
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Abstract

We discuss our recent work on simulational studies of impulse propagation and backscattering for the detection and imaging of shallow buried objects in close packed granular beds.

Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 759: Symposium MM – Granular Material-Based Technologies , 2002 , MM2.9
Copyright
Copyright © Materials Research Society 2003

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References

REFERENCES

[1] Rogers, A.D. and Don, CG., Acoustics Australia, 22, 5 (1994).Google Scholar
[2] Sen, S., et al, Proc. of SPIE 4394, 607 (2001).Google Scholar
[3] McKnight, S.W., et al., Proc. Of SPIE 4394, 627 (2001).Google Scholar
[4] Sen, S. and Visco, D.P. Jr, submitted for publication.Google Scholar
[5] Krishna Mohan, T.R. and Sen, S., submitted for publication.Google Scholar
[6] Naughton, MJ., et al., in “Detection of Abandoned Land Mines,” IEE Conf. Proc. 458, 249 (IEE, London, 1998); See also J.F. Mifsud, “A critique of acoustic mine detection methods,” Defense Research Laboratory, Univ. of Texas, Report DRL-A-95 (October 1955).Google Scholar
Cook, J.C. and Wormser, JJ., IEEE Transactions on Geoscience Electronics, GE11, 135 (1973). L.J. House and D.B. Pape, “Method and apparatus for acoustic energy identification of objects buried in soil,” U.S. Patent No. 5,357,063 (1994). D.A. Sachs, et al, “Feasibility of acoustic landmine detection,” BBN Technical Report No. 7677, U.S. Army Belvoir Research and Development Center (May 19, 1992).Google Scholar
[7] Hertz, H., J. reine u. angew. Math. 92, 156 (1881).Google Scholar
[8] Allen, M.P. and Tildesley, DJ., “Computer Simulation of Liquids” (Oxford, New York, 1987).Google Scholar
[9] Nesterenko, V.F., J. Appl. Mech. Tech. Phys. 5, 733 (1983) and in this volume.Google Scholar
[10] Sen, S. and Manciu, M., Phys. Rev. E 64, 056605 (2001).Google Scholar
[11] Manciu, M., Sen, S. and Hurd, AJ., PhysicaD 157, 226 (2001).Google Scholar
[12] Sen, S. et al., in Sen, S. and Hunt, M.L. eds., “The Granular State,” MRS Symp. Proc. 627, BB3.3 (MRS, Warrendale, 2001);Google Scholar
Manciu, M. et al., in Sen, S. and Hunt, M.L. eds., MRS Symp. Proc. 627, BB3.4 (MRS, Warrendale, 2001).Google Scholar