An improved back projection imaging algorithm for subsurface target detection

An improved back projection imaging algorithm for subsurface target detection is presented in this paper. Firstly, the characteristic of the scattering data at each time-delay curve in the traditional back projection imaging procedure is analyzed. Secondly, a weight factor is designed for each focal point and an improved back projection imaging algorithm is presented. Thirdly, the simulation of the improved imaging algorithm is processed. The imaging results of both the simulation data and the real ground penetrating radar data show the effectiveness of this imaging algorithm.

Anahtar Kelimeler:

Back projection, radar imaging, ground penetrating radar, improved imaging algorithm

An improved back projection imaging algorithm for subsurface target detection

Keywords:

Back projection, radar imaging, ground penetrating radar, improved imaging algorithm,

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Y. Su, C. Huang, W. Lei, Theory and Application of Ground Penetrating Radar, Beijing, Science Press, 2006. H.M. Jol, Ground Penetrating Radar Theory and Applications, the Netherlands, Elsevier Science, 2009.
A.B. Suksmono, E. Bharata, A.A. Lestari, A.G. Yarovoy, L.P. Ligthart, “Compressive stepped-frequency continuouswave ground-penetrating radar”, IEEE Geoscience and Remote Sensing Letters, Vol. 7, pp. 665–669, 2010.
K. Gu, G. Wang, J. Li, “Migration based SAR imaging for ground penetrating radar systems”, IEE Proceedings of Radar, Sonar and Navigation, Vol. 151, pp. 317–325, 2004.
W. Lei, L. Liu, C. Huang, Y. Su, “Subsurface imaging of buried objects from FDTD modeled scattered field”, Proceedings of the 3rd International Conference on Computational Electromagnetics and Its Applications, pp. 516–520, 2004.
L. Zhou, C. Huang, Y. Su, “A Fast Back-Projection Algorithm Based on Cross Correlation for GPR Imaging”, IEEE Geoscience and Remote Sensing Letters, Vol. 9, pp. 228–232, 2012.
D.M. Sullivan, Electromagnetic Simulation Using the FDTD Method, New York, Wiley-IEEE Press, 2000.
H.S. Wu, J. Barba, “Minimum entropy restoration of star field images”, IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics, Vol. 28, pp. 227–231, 1998.