A ground penetrating radar back projection imaging algorithm based on cross-correlation

被引：0
|
作者：
Zhou L. [1 ]
Su Y. [1 ]
机构：
[1] School of Electronic Science and Engineering, National University of Defense Technology
来源：
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2011年 / 33卷 / 11期
关键词：
Back Projection (BP); Ground Penetrating Radar (GPR); Radar imaging; Synthetic aperture;
D O I：
10.3724/SP.J.1146.2011.00271
中图分类号：
学科分类号：
摘要：
Based on the cross-correlation of the received data of Ground Penetrating Radar (GPR), a novel Back Projection (BP) algorithm is proposed to suppress the artifacts in the results of GPR imaging. Comparing with standard BP algorithm, the proposed Cross-correlated Back Projection (CBP) algorithm adds the procedure of calculating the cross-correlation of the received data without increasing any additional channel for reference signal. Both the theoretical analysis and the experimental results present the superiority of the CBP algorithm over standard BP algorithm in artifacts suppression, as well as a slightly improvement in image resolution.
引用
下载
收藏
页码：2714 / 2719
页数：5
相关论文
共 15 条
  • [1] Su Y., Huang C.-L., Lei W.-T., Theory and Applications of Ground Penetrating Radar, pp. 1-10, (2006)
  • [2] Khan U.S., Al-Nuaimy W., Abd E.-S.F.E., Detection of landmines and underground utilities from acoustic and GPR images with a cepstral approach, Journal of Visual Communication and Image Representation, 21, 7, pp. 731-740, (2010)
  • [3] Halman J.I., Shubert K.A., Ruck G.T., SAR processing of ground-penetrating radar data for buried UXO detection: Results from a surface-based system, IEEE Transactions on Antennas and Propagation, 46, 7, pp. 1023-1027, (1998)
  • [4] Chen L., Shan O., A time-domain beamformer for UWB through-wall imaging, IEEE Region 10 Conference, pp. 1-4, (2007)
  • [5] Zapunidi S.A., Pavlovskii B.R., Edemskii F.D., Et al., Exact solution of idealized subsurface sensing problem, In Proceedings of the XIII International Conference on Ground Penetrating Radar, pp. 692-697, (2010)
  • [6] Hansen T.B., Johansen P.M., Inversion scheme for ground penetrating radar that takes into account the planar air-soil interface, IEEE Transactions on Geoscience and Remote Sensing, 38, 1, pp. 496-506, (2000)
  • [7] Gilmore C., Jeffrey I., Lovetri J., Derivation and comparison of SAR and frequency-wavenumber migration within a common inverse scalar wave problem formulation, IEEE Transactions on Geoscience and Remote Sensing, 44, 6, pp. 1454-1461, (2006)
  • [8] Schmelzbach C., Tronicke J., Dietrich P., Three-dimensional hydrostratigraphic models from ground-penetrating radar and direct-push data, Journal of Hydrology, 398, 3-4, pp. 235-245, (2011)
  • [9] Fisher E., McMechan G.A., Annan A.P., Examples of reverse-time migration of single-channel, ground-penetrating radar profiles, Geophysics, 57, 4, pp. 577-586, (1992)
  • [10] Leuschen C.J., Plumb R.G., A matched-filter-based reverse-time migration algorithm for ground-penetrating radar data, IEEE Transactions on Geoscience and Remote Sensing, 39, 5, pp. 929-936, (2001)
12