International Journal of Fuzzy Logic and Intelligent Systems

  • 제6권1호
  • /
  • Pages.47-51
  • /
  • 2006
  • /
  • 1598-2645(pISSN)
  • /
  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
권호 표지
DOI QR코드

DOI QR Code

Image Reconstruction of Subspace Object Using Electrical Resistance Tomography

  • Boo Chang-Jin (School of Electrical & Electronic Engineering, Cheju National University) ;
  • Kim Ho-Chan (School of Electrical & Electronic Engineering, Cheju National University) ;
  • Kang Min-Jae (School of Electrical & Electronic Engineering, Cheju National University)
  • 발행 : 2006.03.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Electrical resistance tomograpy (ERT) maps resistivity values of the soil subsurface and characterizes buried objects. The characterization includes location, size, and resistivity of buried objects. In this paper, truncated least squares (TLS) is presented for the solution of the ERT image reconstruction. Results of numerical experiments in ERT solved by the TLS approach is presented and compared to that obtained by the Gauss-Newton method.

키워드

참고문헌

  1. J. Nahman and D. Salamon, 'A practical method for the interpretation of earth resistivity data obtained from driven rod tests,' IEEE Trans. Power Delivery, vol. 3, pp. 1375-1379, 1988 https://doi.org/10.1109/61.193934
  2. F. Dawalibi and C. J. Blattner, 'Earth resistivity measurement interpretation techniques,' IEEE Trans. Power App. Syst., vol. PAS-103, pp. 374-382, 1984 https://doi.org/10.1109/TPAS.1984.318254
  3. R. A. Williams and M. S. Beck, Process Tomography Principles, techniques and application, ButterworthHeinemann Ltd., 1995
  4. P. Kearey and M. Brooks, An Introduction to Geophysical Exploration, 2nd Ed., Blackwell Scientific Pub., 1991
  5. M. E. Kilmer and D. P. O'Leary, 'Choosing regularization parameters in iterative methods for ill-posed problems,' SIAM J. on Matrix Analysis and Applications, vol. 22, pp. 1204-1221, 2001 https://doi.org/10.1137/S0895479899345960
  6. L. Tong and C. Yang, 'Incorporation of tomography into two-dimensional resistivity inversion,' Geophysics, vol. 55, no. 3, pp. 354-361, 1990 https://doi.org/10.1190/1.1442843
  7. T. Lowry, M. B. Allen, and P. N. Shive, 'Singularity removal: A refinement of resistivity modeling techniques,' Geophysics, vol. 54, pp. 766-774, 1989 https://doi.org/10.1190/1.1442704
  8. S. C. Constable, R. L. Parker, and C. G. Constable, 'Occam's inversion: A practical algorithm for generating smooth models from electromagnetic sounding data,' Geophysics, vol. 52, pp. 289-300, 1987 https://doi.org/10.1190/1.1442303
  9. D. D. Jackson, 'The use of a priori data to resolve non-uniqueness in linear inversion,' Geophys. J. R. Astr. Soc., vol. 57, pp. 137-157, 1979 https://doi.org/10.1111/j.1365-246X.1979.tb03777.x
  10. S. Friedel, 'Resolution, stability and efficiency of resistivity tomography estimated from a generalized inverse approach,' Geophys. J. Int., vol. 153, pp. 305-316, 2003 https://doi.org/10.1046/j.1365-246X.2003.01890.x
  11. D. L. Alumbaugh and G. A. Newman, 'Image appraisal for 2-d and 3-d electromagnetic inversion,' Geophysics, vol. 65, no. 5, pp. 1455-1467, 2000 https://doi.org/10.1190/1.1444834
  12. C. M. R. Hestenes and E. Stiefel, 'Methods of conjugate gradients for solving linear systems,' J. Res. Nat. Bur. Stand, vol. 49, pp. 409-436, 1952 https://doi.org/10.6028/jres.049.044
  13. L. R. Lines and S. Treitel, 'Tutorial: A review of least square inversion and its application to geophysical problem,' Geophysical Prospecting, vol. 32, pp. 159-186, 1984 https://doi.org/10.1111/j.1365-2478.1984.tb00726.x