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An improved bicubic imaging fitting algorithm for 3D radar detection target

  • Ground-penetrating radar
  • Published:
Applied Geophysics Aims and scope Submit manuscript

Abstract

3D ground-penetrating radar has been widely used in urban road underground disease detection due to its nondestructive, efficient, and intuitive results. However, the 3D imaging of the underground target body presents the edge plate phenomenon due to the space between the 3D radar array antennas. Consequently, direct 3D imaging using detection results cannot reflect underground spatial distribution characteristics. Due to the wide-beam polarization of the ground-penetrating radar antenna, the emission of electromagnetic waves with a specific width decreases the strong middle energy on both sides gradually. Therefore, a bicubic high-precision 3D target body slice-imaging fitting algorithm with changing trend characteristics is constructed by combining the subsurface target characteristics with the changing spatial morphology trends. Using the wide-angle polarization antenna’s characteristics in the algorithm to build the trend factor between the measurement lines, the target body change trend and the edge detail portrayal achieve a 3D ground-penetrating radar-detection target high-precision fitting. Compared with other traditional fitting techniques, the fitting error is small. This paper conducts experiments and analyses on GpaMax 3D forward modeling and 3D ground-penetrating measured radar data. The experiments show that the improved bicubic fitting algorithm can effectively improve the accuracy of underground target slice imaging and the 3D ground-penetrating radar’s anomaly interpretation.

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Acknowledge

This work was supported by The National Key Research and Development Program of China (2021YFC3090304); The Fundamental Research Funds for the Central Universities, China University of Mining and Technology-Beijing (8000150A073).

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Authors and Affiliations

  1. School of Mechanical Electronic and Information Engineering, China University of Mining and Technology-Beijing, Beijing, 100083, China

    Fan-Ruo Li, Feng Yang, Qiao Xu, Yi-Jin Li & Hong-Jia Xing

  2. Beijing Drainage Group Co., LTD, Beijing, 100044, China

    Rui Yan

Authors
  1. Fan-Ruo Li
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  2. Feng Yang
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  3. Rui Yan
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  4. Qiao Xu
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  5. Yi-Jin Li
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  6. Hong-Jia Xing
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Corresponding author

Correspondence to Feng Yang.

Additional information

Li Fan-Ruo, Doctoral candidate in the School of Mechanical Electronic and Information Engineering, China University of Mining and Technology-Beijing. His main research interests are 3D ground penetrating radar acquisition and control, signal processing, and computer graphics.

Yang Feng Professor, the doctoral supervisor in the School of Mechanical Electronic and Information Engineering, China University of Mining and Technology-Beijing. His main research interests are information acquisition, computer graphics, and parallel computing.

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Li, FR., Yang, F., Yan, R. et al. An improved bicubic imaging fitting algorithm for 3D radar detection target. Appl. Geophys. 19, 553–562 (2022). https://doi.org/10.1007/s11770-022-0945-3

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  • DOI: https://doi.org/10.1007/s11770-022-0945-3

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