GEOMETRIC CHARACTERIZATION OF A TARGET ABOVE THE HALF-SPACE INTERFACE USING SUPPORT VECTOR MACHINE

Chao Li, Si-Yuan He, Guo-Qing Yin, Guo-Qiang Zhu

2011

Abstract

The geometric parameters of a electrically large square above a rough surface are reconstructed by means of support vector machine (SVM). The SVM input data are the amplitude of backscattered electric fields obtained from the accurate and efficient EM numerical simulation. The aim of our research is to reconstruct the geometric information while using computational resources as reduced as possible. Therefore, how the spatial and frequency diversity affect the reconstruction is analysed with respect to the characteristics of the scattered fields. Numerical experiments show that it is feasible to get an accurate reconstruction result with the backscattered multi-frequency data collected at just a few observation points which are specially selected based on scattering characteristics.

References

  1. H. X. Ye, Y. Q. Jin., 2006. Fast iterative approach to difference scattering from the target above a rough surface. IEEE Press.
  2. F. S. Deng, S. Y. He, H. T. Chen, W. D. Hu, W. X. Yu, G. Q. Zhu., 2010. Numerical Simulation of Vector Wave Scattering From the Target and Rough Surface Composite Model With 3-D Multilevel UV Method. IEEE Press.
  3. S. Caorsi, G. Cevini., 2005. An electromagnetic approach based on neural networks for the GPR investigation of buried cylinders. IEEE Press.
  4. R. Firoozabadi, E. L. Miller, C. M. Rappaport, A. W. Morgenthaler., 2007. Subsurface Sensing of Buried Objects Under a Randomly Rough Surface Using Scattered Electromagnetic Field Data. IEEE Press.
  5. E. Bermani, S. Caorsi, M. Raffetto., 2000. Geometric and dielectric characterization of buried cylinders by using simple time-domain electromagnetic data and neural networks. Wiley Press.
  6. E. Pettinelli, A. D. Matteo, E. Mattei, l. Crocco, F. Soldovieri, J. D. Redman, A. P. Annan., 2009. GPR Response From Buried Pipes: Measurement on Field Site and Tomographic Reconstructions, IEEE TePress.
  7. Q. H. Zhang, B. X. Xiao, G. Q. Zhu., 2007. Inverse scattering by dielectric circular cylinder using support vector machine approach,. Wiley Press.
  8. A. Qing., 2003. Electromagnetic inverse scattering of multiple two-dimensional perfectly conducting objects by the differential evolution strategy. IEEE Press.
  9. V. Vapnik., 1998. Statistical Learning Theory. Wiley Press. New York
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Paper Citation


in Harvard Style

Li C., He S., Yin G. and Zhu G. (2011). GEOMETRIC CHARACTERIZATION OF A TARGET ABOVE THE HALF-SPACE INTERFACE USING SUPPORT VECTOR MACHINE . In Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011) ISBN 978-989-8425-83-6, pages 352-355. DOI: 10.5220/0003722403520355


in Bibtex Style

@conference{ecta11,
author={Chao Li and Si-Yuan He and Guo-Qing Yin and Guo-Qiang Zhu},
title={GEOMETRIC CHARACTERIZATION OF A TARGET ABOVE THE HALF-SPACE INTERFACE USING SUPPORT VECTOR MACHINE },
booktitle={Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011)},
year={2011},
pages={352-355},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003722403520355},
isbn={978-989-8425-83-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011)
TI - GEOMETRIC CHARACTERIZATION OF A TARGET ABOVE THE HALF-SPACE INTERFACE USING SUPPORT VECTOR MACHINE
SN - 978-989-8425-83-6
AU - Li C.
AU - He S.
AU - Yin G.
AU - Zhu G.
PY - 2011
SP - 352
EP - 355
DO - 10.5220/0003722403520355