19
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Image Reconstruction of a Buried Conductor by Modified Particle Swarm Optimization

, &
Pages 284-291 | Published online: 01 Sep 2014

References

  • A Massa, M Pastorino, A Rosani, and M Benedetti “A Microwave Imaging Method for NDE/NDT Based on the SMW Technique for the Electromagnetic Field Prediction,” IEEE Transactions on Instrumentation and Measurement, Vol. 55, No. 1, pp. 240 – 7, Feb. 2006.
  • O Mudanyali, S Yildiz, O Semerci, A Yapar, and I Akduman, “A Microwave Tomographic Approach for Nondestructive Testing of Dielectric Coated Metallic Surfaces.”, IEEE Geoscience and Remote Sensing Letters, Vol. 5, No. 2, pp. 180 – 4, Apr. 2008.
  • M Benedetti, M Donelli, D Lesselier, and A Massa, “A Two-Step Inverse Scattering Procedure for the Qualitative Imaging of Homogeneous Cracks in Known Host Media-Preliminary Results,” IEEE Antennas and Wireless Propagation Letters, Vol. 6, pp. 592–5, 2007.
  • P C Sabatier, “Theoretical considerations for inverse scattering,” Radio Science, vol. 18, pp. 1–18, Jan. 1983.
  • C H Sun, C L Liu, K C Chen, C C Chiu, C L Li, and C C Tasi, “Electromagnetic Transverse Electric Wave Inverse Scattering of a Partially Immersed Conductor by Steady-State Genetic Algorithm,” Electromagnetics. Vol. 28, No. 6, pp. 389–400, Aug. 2008.
  • C C Chiu, and P T Liu, “Image Reconstruction of a Perfectly Conducting Cylinder by the Genetic Algorithm,” IEE Proceeding-Microwaves Antennas and Propagation, vol. 143, pp. 249–53, June 1996.
  • C H Huang, C C Chiu, C L Li, and Y H Li, “Image Reconstruction of the Buried Metallic Cylinder Using FDTD Method and SSGA,” Progress In Electromagnetic Research. PIER, vol. 85, pp. 195–210, Aug. 2008.
  • W Chien, C H Sun, and C C Chiu, “Image Reconstruction for a Partially Immersed Imperfectly Conducting Cylinder by Genetic Algorithm,” International Journal of Imaging Systems and Technology Vol. 19, pp. 299–305, Dec. 2009.
  • C H Sun, C C Chiu, and C L Li, “Time-Domain Inverse Scattering of a Two- dimensional Metallic Cylinder in Slab Medium Using Asynchronous Particle Swarm Optimization.”, Progress In Electromagnetic Research M. PIER M Vol. 14, pp. 85–100, Aug. 2010.
  • C H Sun, C C Chiu, W Chien, and C L Li, “Application of FDTD and Dynamic Differential Evolution for Inverse Scattering of a Two Dimensional Perfectly Conducting Cylinder in Slab Medium”, Journal of Electronic Imaging, Vol. 19, pp. 043016, Dec. 2010.
  • A Qing, “Dynamic differential evolution strategy and applications in electromagnetic inverse scattering problems”, IEEE Transactions on Geoscience and Remote Sensing, Vol. 44, No. 1, pp.116–25, Jan, 2006.
  • I T Rekanos, “Shape Reconstruction of a Perfectly Conducting Scatterer Using Differential Evolution and Particle Swarm Optimization,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 46, No. 7, pp. 1967–74, Jul. 2008.
  • M Donelli, G Franceschini, A Martini, and A Massa, “An integrated multiscaling strategy based on a particle swarm algorithm for inverse scattering problems,” IEEE Trans. Geosci. Remote Sens., vol. 44, no. 2, pp. 298–312, Feb. 2006.
  • W Chien, and C C Chiu, “Using NU-SSGA to Reduce the Searching Time in Inverse Problem of a Buried Metallic Object,” IEEE Transactions on Antennas and Propagation. Vol. 53, No. 10, pp. 3128–34, Oct. 2005.
  • A Semnani, M Kamyab, and I T Rekanos, ”Reconstruction of One-Dimensional Dielectric Scatterers Using Differential Evolution and Particle Swarm Optimization,“ IEEE Geoscience and Remote Sensing Letters, Vol. 6, No. 4, pp. 671–5, Oct. 2009.
  • C L Li, C C Chiu, and C H Huang, “Time Domain Inverse Scattering for a Homogenous Dielectric Cylinder by Asynchronous Particle Swarm Optimization,” Journal of Testing and Evaluation, Vol. 38, No.3, pp. 102868, May. 2011
  • C C Chiu, C H Sun, and W L Chang, “Comparison of Particle Swarm Optimization and Asynchronous Particle Swarm Optimization for Inverse Scattering of a Two? Dimensional Perfectly Conducting Cylinder”, International Journal of Applied Electromagnetics and Mechanics, Vol. 35, No.4, pp. 249–61, Apr. 2011.
  • M Senthil Arumugam, A Chandramohan, and M V C Rao, “Competitive Approaches to PSO Algorithms via New Acceleration Co-efficient Variant with Mutation Operators,” Computational Intelligence and Multimedia Applications, pp. 225–30, Aug. 2005.
  • C Dong, G Wang, and Z Chen, “The inertia weight self-adapting in PSO,” Intelliqent Control and Automation, pp. 5313–6, June. 2008.
  • M Aliyari Shoorehdeli, M Teshnehlab, and A K Sedigh, “Novel Hybrid Learning Algorithms for Tuning ANFIS Parameters Using Adaptive Weighted PSO, ” IEEE International Fuzzy Systems, pp. 1–6, July. 2007.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.