2011-11-19
Radar Image of One Dimension Rough Surface with Buried Object
By
Progress In Electromagnetics Research B, Vol. 36, 323-336, 2012
Abstract
In order to detect a buried object quickly and accurately, a fast radar imaging method is presented in this paper. At first, complex backscatter data are computed by using propagation-inside-layer expansion combining the forward and backward method (PILE + FB). Then, a conventional synthetic aperture radar (SAR) imaging procedure called back projection method is used to generate 2-D image. The random rough surface with Gauss spectrum is used to simulate the ground. Tapered incident wave is chosen to reduce truncation error. Because backscatter data are computed by fast numerical method, this method is proper for rough surface with any parameters with a buried complex object, which is very useful for realistic object detection.
Citation
Wei-Jie Ji, and Chuang-Ming Tong, "Radar Image of One Dimension Rough Surface with Buried Object," Progress In Electromagnetics Research B, Vol. 36, 323-336, 2012.
doi:10.2528/PIERB11092106
References

1. Zhang, , Y., Y. E. Yang, H. Braunisch, and J. A. Kong, "Electromagnetic wave interaction of conducting object with rough surface by hybrid SPM/MoM technique ," Progress In Electromagnetics Research, Vol. 22, 315-335, 1999.        Google Scholar

2. Ishimaru, , A., J. D. Rockway, and Y. Kuga, "Rough surface Green's function based on the first-order modified perturbation and smoothed diagram methods," Waves Random Media, Vol. 10, 17-31, 2000.        Google Scholar

3. Wang, , R., L.-X. Guo, and A.-Q. Wang, "Investigation of electromagnetic scattering interaction between the buried and the rough surface in di®erent types of soil," Chinese Physics, Vol. 59, No. 8, 3179-3186, 2010.        Google Scholar

4. Bourlier, , C., G. Kubicke, and N. Deechamps, "A fast method to compute scattering by a buried object under a randomly rough surface: PILE combined to FB-SA ," J. Opt. Soc. Amer. A, Vol. 25, 891-902, 2008.        Google Scholar

5. Wang, , X., C.-F. Wang, Y.-B. Gan, and L.-W. Li, "Electromagnetic scattering from a circular target above or below rough surface," Progress In Electromagnetics Research, Vol. 40, 207-227, 2003.        Google Scholar

6. Johnson, J. T. and R. J. Burkholder, "A study of scattering from an object below a rough surface," IEEE Trans. Geosci. Remote Sensing, Vol. 42, 59-66, 2004.        Google Scholar

7. El-Shenawee, , M., C. M. Rappaport, E. L. Miller, and M. B. Silevitch, "Three-dimensional subsurface analysis of electromagnetic scattering from penetrable/PEC objects buried under rough surfaces: Use of the steepest descent fast multipole method," IEEE Trans. Geosci. Remote Sensing, Vol. 39, 1174-1182, 2001.        Google Scholar

8. Ji, , W.-J., C.-M. Tong, and , "The E-PILE + SMCG for scattering form an Object below 2D soil rough surface," Progress In Electromagnetics Research B, Vol. 33, 317-337, 2011.        Google Scholar

9. Ji, , W.-J., C.-M. Tong, and , "Bistatic scattering from two-dimensional dielectric ocean rough surface with a PEC object partially embedded by using the G-SMCG method," Progress In Electromagnetics Research, Vol. 105, 119-139, 2010.        Google Scholar

10. Kuga, , Y., C. T. C. Le, A. Ishimaru, and L. Aies-Sengers, "Analytical, experimental and numerical studies of angular memory signatures of waves scattered from one-dimensional rough surfaces ," IEEE Trans. Geosci. Remote Sensing, Vol. 34, 1300-1307, 1996.        Google Scholar

11. Michel, T. R. and K. A. O'Donnell, "Angular correlation functions of amplitudes scattered from a one-dimensional, perfectly conducting rough surface," J. Opt. Soc. Amer. A, Vol. 9, No. 8, 1374-1384, 1992.        Google Scholar

12. Zhang, , G., L. Tsang, and Y. Kuga, "Studies of angular correlationfunction of scattering by random rough surfaces with and without a buried object," IEEE Trans. Geosci. Remote Sensing, Vol. 35, 444-453, 1997.        Google Scholar

13. Zhang, , G., L. Tsang, and K. Pak, "Angular correlation function and scattering coe±cient of electromagnetic waves scattered by a buried object under a two-dimensional rough surface ," J. Opt. Soc. Amer. A, 2995{=-3002, Dec. 1998.        Google Scholar

14. Fortuny, , J., A. J. Sieber, and , "Three-dimensional synthetic aperture radar imaging of a fir tree: First results," IEEE Trans. Geosci. Remote Sensing, Vol. 37, 1006-1014, Mar. 1999.        Google Scholar

15. Kim, , H., J. T. Johnson, and B. Baertlein, "High resolution Ka-band backscatter images of a small tree: Measurements and models," IEEE Trans. Geosci. Remote Sensing, 899-910, Mar. 2000.        Google Scholar

16. Brown, , S. and J. C. Bennett, "High-resolution microwave polarimetric imaging of small trees," IEEE Trans. Geosci. Remote Sensing, Vol. 37, 48-53, Jan. 1999.        Google Scholar

17. Kim, , H., J. T. Johnson, and , "Radar images of rough surface scattering: Comparison of numerical and analytical models," IEEE Trans. Antennas and Propagation, Vol. 50, No. 2, 94-100, 2002.        Google Scholar

18. Kim, , H. and J. T. Johnson, "Radar image studies of an ocean-like surface," Microwave and Optical Technology Letters, Vol. 30, No. 9, 381-384, 2001.        Google Scholar

19. Chang, Y.-L., C.-Y. Chiang, and K.-S. Chen, "SAR image simulation with application to target recognition," Progress In Electromagnetics Research, Vol. 119, 35-57, 2011.        Google Scholar

20. Thorsos, , A., "The validity of the Kirchhoff approximation for rough surface scattering using a Guassian roughness spectrum," Journal of the Acoustical Society of America, Vol. 83, No. 1, 78-92, 1988.        Google Scholar

21. Harris, F. J., "On the use of windows for harmonic analysis with the discrete Fourier transform," Proc. IEEE,, 55-58, Jan. 1978.        Google Scholar