A New Underground Target Identification Method Based on Ground Penetrating Radar Map

Article Preview

Abstract:

In this paper, we proposed a punctuated target identification method for underground homogeneous medium based on dielectric constant inversion algorithm. Its main idea is that, initially, Hough transform is used to locate the target characterized by hyperbola in a radar profile map, then a layer-by-layer waveform inversion algorithm is used to invert the dielectric constant on the location where the target lies. To guarantee the correctness of inversion, the transmission beam method is adopted to obtain initial parameters and calibration factors required by inversion. Through numerical analysis of the dielectric constant of the target, the classification of multiple targets in an underground medium can be confirmed. This method not only overcomes the failure of the traditional phase-comparison method to distinguish different kinds of targets in the same region, but also overcomes the limitation of the image processing method, in which it only classifies the target in a coarse-grained manner. Experimental results show that this method has many advantages, such as fine-grained classification, high precision, and multiple target identification, in the identification of underground targets.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1926-1931

Citation:

Online since:

June 2011

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Bai Bing, Zhou Jian. Advances and Applications of Ground Penetrating Radar Measuring Technology. Chinese Journal of Rock Mechanics and Engineering. 2001, 20(4): 527-531.

Google Scholar

[2] Li J, Wu R. 1998. An efficient algorithm for time delay estimation. IEEE Transcation on Signal Processing, 46(8): 2231-2235.

DOI: 10.1109/78.705444

Google Scholar

[3] ZHEND Jun-ting, LI Jian, LI Jian-xun. The Application of RBF Neural Network in Material Recognition of Ultra-Wideband Ground-Penetrating Radar. Journal of ShnghaiJiaotong University. 2006, 40(1): 99-102.

Google Scholar

[4] LI Cai-Ming, WANG Liang-Shu, XU Ming-Jie, etc. Objects recognition of ground penetrating radar in karst regions using wavelet energy spectrum analysis. Chinese Journal of Geophysics. 2006, 49(5): 1499-1504.

DOI: 10.1002/cjg2.958

Google Scholar

[5] Hu Jinfeng, Zhou Zheng'ou. Target Detection and Orientation in Sub-surface Penetrating Radar Data. Chinese Journal of Scientific Instrument. 2006, 27(4): 371-375.

Google Scholar

[6] CHENG Yan, ZHANG Jian-zhong. A Linear Object Reconstruction Algorithm for Ground Penetrating Radar. Journal of Xiamen University(Natural Science). 2008, 47(1): 31-35.

Google Scholar

[7] Zhang Chun-cheng, Zhou Zheng-ou. Research on Automatic Target Detection and Orientation of Ground Penetrating Radar in Shallow Subsurface Application. Journal of Electronics & Information Technology. 2005, 27(7): 1065-1068.

Google Scholar

[8] ZHAND Chun-cheng, ZHOU Zheng-ou. Research on Ground Penetrating Radar Target Identification Based on Support Vector Machines in Shallow Subsurface Application. 2005, 33(6): 1091-1094.

Google Scholar