Three-dimensional imaging of ground penetrating radar with total variation minimization

Chen Zhou; Qinghua Liu; Jiahui Yang; Caiqiu Zhu

doi:10.1117/12.2613539

15 February 2022 Three-dimensional imaging of ground penetrating radar with total variation minimization

Chen Zhou, Qinghua Liu, Jiahui Yang, Caiqiu Zhu

Proceedings Volume 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021); 121661T (2022) https://doi.org/10.1117/12.2613539
Event: Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 2021, Hong Kong, Hong Kong

Abstract

Most of the traditional compressed sensing ground penetrating radar imaging is performed in a two-dimensional form, and it is impossible to accurately determine the specific location of the underground target. In order to solve these problems, a three-dimensional imaging method is proposed for ground penetrating radar. In this method, the data is observed from a planar MIMO array, and a dictionary matrix is constructed into a three-dimensional model. Finally, the underground scene in three dimensions is reconstructed with the total variation minimization. The experimental results show that in the layered media scene, the proposed method can accurately image the target by using only a small amount of data.

Citation Download Citation

Chen Zhou, Qinghua Liu, Jiahui Yang, and Caiqiu Zhu "Three-dimensional imaging of ground penetrating radar with total variation minimization", Proc. SPIE 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 121661T (15 February 2022); https://doi.org/10.1117/12.2613539

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