Super-resolution reconstruction method of ground penetrating radar signals based on wavelet theory and its application in reverse time migration

被引:2
|
作者
Liu, Xianjun [1 ]
Ling, Tonghua [1 ]
He, Wenchao [1 ]
Zhang, Liang [2 ]
Bin, Yu [1 ]
Hua, Fei [1 ]
Liu, Wenjun [1 ]
机构
[1] Changsha Univ Sci & Technol, Coll Civil Engn, Changsha 410114, Peoples R China
[2] Hunan City Univ, Coll Civil Engn, Yiyang 413000, Peoples R China
基金
中国国家自然科学基金;
关键词
finite difference time domain (FDTD); reverse time migration (RTM); finite difference time domain reverse time migration (FDTD-RTM); wavelet multi-resolution analysis; super-resolution reconstruction method; DISPERSION; CHANNEL; GPR;
D O I
10.1088/1361-6501/acdfc8
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The finite difference time domain (FDTD) method was used to solve the Maxwell's equation to obtain the reverse time migration (RTM) of ground penetrating radar (GPR) signals, namely, the FDTD-RTM. In order to ensure that the correct numerical solution of iterative calculation was achieved, it was necessary to obtain high-resolution signals, which greatly limits the applicability of FDTD-RTM in engineering. Based on the characteristics of wavelet multi-resolution analysis, this study proposed a super-resolution signal reconstruction method to improve signal resolution, with the view to completely solving the problem of FDTD-RTM limitation caused by insufficient signal sampling using GPR. The results of electromagnetic simulation showed that the signals reconstructed by the above method were highly similar to the signals sampled with the same resolution. On this basis, reverse time migration electromagnetic simulation and physical model tests were designed. The results of both experiments showed that the under-sampled GPR signals could achieve FDTD-RTM following super-resolution reconstruction, and that the migration imaging results of the target were basically consistent with the design scheme. The signal super-resolution reconstruction method based on the wavelet theory was thus shown to successfully achieve the overall application of FDTD-RTM in GPR signal analysis.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] An Image Super-Resolution Reconstruction Method Based on PEGAN
    Jing, Chang-Wei
    Huang, Zhi-Xing
    Ling, Zai-Ying
    IEEE ACCESS, 2023, 11 : 102550 - 102561
  • [22] Least Squares Reverse Time Migration of Ground Penetrating Radar Data Based on Modified Total Variation
    Dai, Qianwei
    Wang, Shaoqing
    Lei, Yi
    APPLIED SCIENCES-BASEL, 2023, 13 (18):
  • [23] THE STUDY OF SUPER-RESOLUTION RECONSTRUCTION BASED ON VISUAL ATTENTION AND WAVELET ANALYSIS
    Wang, Senhua
    Song, Zhi-Qiang
    Zhang, Li
    Li, Xiangzhong
    Wang, Zhaoxia
    2015 12TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP), 2015, : 295 - 298
  • [24] Image Super-Resolution Reconstruction Based on Phase Correlation and Wavelet Transform
    Ruan Xiaoyan
    Chen Xiangning
    Gao Mengnan
    PROCEEDINGS OF 2009 CONFERENCE ON COMMUNICATION FACULTY, 2009, : 216 - +
  • [25] Iterative Blob-based Super-Resolution Reconstruction with Wavelet Denoising
    Ho, Edward Y. T.
    2009 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD, VOLS 1-5, 2009, : 3372 - 3381
  • [26] Super-Resolution Image Reconstruction Using Wavelet Based Patch and Discrete Wavelet Transform
    Shin, Do Kyung
    Moon, Young Shik
    JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 2015, 81 (01): : 71 - 81
  • [27] Super-Resolution Image Reconstruction Using Wavelet Based Patch and Discrete Wavelet Transform
    Do Kyung Shin
    Young Shik Moon
    Journal of Signal Processing Systems, 2015, 81 : 71 - 81
  • [28] Super-Resolution Reconstruction of Radar Tomographic Image Based on Image Decomposition
    Wei, Xizhang
    Liu, Zhen
    Ding, Xiaofeng
    Fan, Meimei
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2014, 11 (03) : 607 - 611
  • [29] Millimeter Wave Radar Azimuth Super-resolution Method Based on Multi-frame Reconstruction
    Liu, Shuaidi
    Zhang, Yongchao
    Sun, Zhenyu
    Mao, Deqing
    Huang, Yulin
    Yang, Jianyu
    2024 IEEE RADAR CONFERENCE, RADARCONF 2024, 2024,
  • [30] Image Super-resolution Reconstruction Algorithm Based on Bayesian Theory
    Zheng, Wenbo
    Deng, Fei
    Mo, Shaocong
    Jin, Xin
    Qu, Yili
    Zhou, Jiangwei
    Zou, Rui
    Shuai, Jia
    Xie, Zefeng
    Long, Sijie
    Zheng, Chengfeng
    PROCEEDINGS OF THE 2018 13TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2018), 2018, : 1934 - 1938