Abstract
The imaging technology is an important part of the ground penetrating radar (GPR) technology research. Traditional ground penetrating radar imaging technology mostly stays in two-dimensional (2-D) imaging. However, when the line of the 2-D section is inclined obliquely to the underground target, the 2-D section will be inconsistent with the actual underground structure, which makes the 2-D imaging technology have inherent defects. Therefore, the research of the 3-D imaging technology has become a hot and difficult problem in current research. In this paper, a 3-D prestack time migration imaging algorithm for expressway detection is proposed. In order to better realize the 3-D migration imaging display, it is necessary to do some preliminary processing on the 3-D ground penetrating radar reflected echo data, including data preprocessing and data processing. Then the 3-D prestack migration imaging technique is applied to the process of the 3-D ground penetrating radar reflected echo data after pre-processing. By rearranging the amplitude of the collected reflected echo signals, the reflected echo energy can be homing to the real position of the space where the initial reflection point is located, thereby the horizontal resolution of the detection area is improved and finally the true outline of the measured target can be reconstructed. The simulation results verify the effectiveness and superiority of the proposed algorithm.
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This work was supported in part by the National Key R&D Program of China under grant No. 2017YFC1500601.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Pu, Y., Zhang, J., Ma, Y., Bai, X., Wang, S. (2019). A 3-D Migration Imaging Algorithm Suitable for Expressway Detection. In: Jia, M., Guo, Q., Meng, W. (eds) Wireless and Satellite Systems. WiSATS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 281. Springer, Cham. https://doi.org/10.1007/978-3-030-19156-6_5
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DOI: https://doi.org/10.1007/978-3-030-19156-6_5
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