Table of Contents
International Journal of Microwave Science and Technology
Volume 2015, Article ID 376374, 13 pages
http://dx.doi.org/10.1155/2015/376374
Research Article

An Iterative Approach to Improve Images of Multiple Targets and Targets with Layered or Continuous Profile

Department of Electrical Engineering and the Graduate Institute of Communication Engineering, National Taiwan University, Taipei 106, Taiwan

Received 4 June 2015; Revised 24 August 2015; Accepted 31 August 2015

Academic Editor: Ramon Gonzalo

Copyright © 2015 Yu-Hsin Kuo and Jean-Fu Kiang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. L. Crocco, I. Catapano, L. D. Donato, and T. Isernia, “The linear sampling method as a way to quantitative inverse scattering,” IEEE Transactions on Antennas and Propagation, vol. 60, no. 4, pp. 1844–1853, 2012. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  2. I. Catapano, L. Crocco, and T. Isernia, “Improved sampling methods for shape reconstruction of 3-D buried targets,” IEEE Transactions on Geoscience and Remote Sensing, vol. 46, no. 10, pp. 3265–3273, 2008. View at Publisher · View at Google Scholar · View at Scopus
  3. D. Colton, H. Haddar, and M. Piana, “The linear sampling method in inverse electromagnetic scattering theory,” Inverse Problems, vol. 19, no. 6, pp. S105–S137, 2003. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  4. A. M. Hassan, M. R. Hajihashemi, and M. El-Shenawee, “Inverse scattering shape reconstruction of 3D bacteria using the level set algorithm,” Progress in Electromagnetics Research B, vol. 39, pp. 39–53, 2012. View at Google Scholar · View at Scopus
  5. M. R. Hajihashemi and M. El-Shenawee, “Level set algorithm for shape reconstruction of non-overlapping three-dimensional penetrable targets,” IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 1, pp. 75–86, 2012. View at Publisher · View at Google Scholar · View at Scopus
  6. C. Gilmore, A. Abubakar, W. Hu, T. M. Habashy, and P. M. van den Berg, “Microwave biomedical data inversion using the finite-difference contrast source inversion method,” IEEE Transactions on Antennas and Propagation, vol. 57, no. 5, pp. 1528–1538, 2009. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  7. A. Abubakar, W. Hu, P. M. van den Berg, and T. M. Habashy, “A finite-difference contrast source inversion method,” Inverse Problems, vol. 24, no. 6, Article ID 065004, 2008. View at Publisher · View at Google Scholar · View at Scopus
  8. P. M. van den Berg and R. E. Kleinman, “A contrast source inversion method,” Inverse Problems, vol. 13, no. 6, pp. 1607–1620, 1997. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  9. L. Di Donato, M. Bevacqua, T. Isernia, I. Catapano, and L. Crocco, “Improved quantitative microwave tomography by exploiting the physical meaning of the Linear Sampling Method,” in Proceedings of the 5th European Conference on Antennas and Propagation (EUCAP '11), pp. 3828–3831, Rome, Italy, April 2011. View at Scopus
  10. X. Ye, X. Chen, Y. Zhong, and R. Song, “Simultaneous reconstruction of dielectric and perfectly conducting scatterers via T matrix method,” IEEE Transactions on Antennas and Propagation, vol. 61, no. 7, pp. 3774–3781, 2013. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  11. E. Mudry, P. C. Chaumet, K. Belkebir, and A. Sentenac, “Electromagnetic wave imaging of three-dimensional targets using a hybrid iterative inversion method,” Inverse Problems, vol. 28, no. 6, 2012. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  12. J. M. Geffrin and P. Sabouroux, “Testing inversion algorithms against experimental data,” Inverse Problems, vol. 17, no. 6, pp. 1565–1571, 2001. View at Google Scholar
  13. M. Ostadrahimi, A. Zakaria, J. Lovetri, and L. Shafai, “A near-field dual polarized (TE-TM) microwave imaging system,” IEEE Transactions on Microwave Theory and Techniques, vol. 61, no. 3, pp. 1376–1384, 2013. View at Publisher · View at Google Scholar · View at Scopus
  14. A. Zakaria, C. Gilmore, and J. LoVetri, “Finite-element contrast source inversion method for microwave imaging,” Inverse Problems, vol. 26, no. 11, 2010. View at Publisher · View at Google Scholar · View at MathSciNet
  15. L. Pan, Y. Zhong, X. Chen, and S. P. Yeo, “Subspace-based optimization method for inverse scattering problems utilizing phaseless data,” IEEE Transactions on Geoscience and Remote Sensing, vol. 49, no. 3, pp. 981–987, 2011. View at Publisher · View at Google Scholar · View at Scopus
  16. L. Pan, X. Chen, and S. P. Yeo, “Nondestructive evaluation of nanoscale structures: inverse scattering approach,” Applied Physics A: Materials Science and Processing, vol. 101, no. 1, pp. 143–146, 2010. View at Publisher · View at Google Scholar · View at Scopus
  17. L. Pan, X. Chen, Y. Zhong, and S. P. Yeo, “Comparison among the variants of subspace-based optimization method for addressing inverse scattering problems transverse electric case,” Journal of the Optical Society of America A, vol. 27, no. 10, pp. 2208–2215, 2010. View at Publisher · View at Google Scholar · View at Scopus
  18. C. Gilmore, P. Mojabi, A. Zakaria, S. Pistorius, and J. Lovetri, “On super-resolution with an experimental microwave tomography system,” IEEE Antennas and Wireless Propagation Letters, vol. 9, pp. 393–396, 2010. View at Publisher · View at Google Scholar · View at Scopus
  19. Y. Zhong, X. Chen, and K. Agarwal, “An improved subspace-based optimization method and its implementation in solving three-dimensional inverse problems,” IEEE Transactions on Geoscience and Remote Sensing, vol. 48, no. 10, pp. 3763–3768, 2010. View at Publisher · View at Google Scholar · View at Scopus
  20. M. D'Urso, T. Isernia, and A. F. Morabito, “On the solution of 2-d inverse scattering problems via source-type integral equations,” IEEE Transactions on Geoscience and Remote Sensing, vol. 48, no. 3, pp. 1186–1198, 2010. View at Publisher · View at Google Scholar · View at Scopus