A 3-D Imaging Method of GPR Based on BP Algorithm

被引:0
|
作者
Wei Jianbin [1 ]
Chen Zili [1 ]
Jiang Tao [1 ]
机构
[1] Ordnance Engn Coll, Opt & Elect Engn Dept, Shijiazhuang 050003, Hebei, Peoples R China
来源
ISTM/2009: 8TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6 | 2009年
关键词
Ground Penetrating Radar; BP Algorithm; 3-D Imaging Method;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Impulse ground penetrating radar has been widely used in detection of object subsurface. As the dielectric property is different between media subsurface and air, the transmitting signal would change its propagation path and velocity when detecting object subsurface. The velocity is not constant and propagation path is not a straight line because of refraction. At the same time because impulse has no phase, the traditional SAR imaging methods would not been suitable for the SAR imaging of impulse pulse any more. So a 2-D and 3-D imaging methods based on hyperbola matching and hyperboloid matching for the imaging of object subsurface are introduced in this paper. At last the imaging method is verified by computer emulation.
引用
收藏
页码:774 / 777
页数:4
相关论文
共 50 条
  • [21] A novel method for GPR imaging based on neural networks and dictionary learning
    Hajipour, Shayan
    Azadi Namin, Farhad
    Sarraf Shirazi, Reza
    WAVES IN RANDOM AND COMPLEX MEDIA, 2021, 33 (02) : 393 - 413
  • [22] Fast 3D Subsurface Imaging with Stepped-Frequency GPR
    Masarik, Matthew P.
    Burns, Joseph
    Thelen, Brian T.
    Sutter, Lena
    DETECTION AND SENSING OF MINES, EXPLOSIVE OBJECTS, AND OBSCURED TARGETS XX, 2015, 9454
  • [23] Full-resolution 3D GPR imaging for geoscience and archeology
    Grasmueck, M
    Weger, R
    Horstmeyer, H
    PROCEEDINGS OF THE TENTH INTERNATIONAL CONFERENCE ON GROUND PENETRATING RADAR, VOLS 1 AND 2, 2004, : 329 - 332
  • [24] A 3-D Uniform Diffraction Tomographic Algorithm for Near-Field Microwave Imaging Through Stratified Media
    Ren, Kai
    Chen, Jie
    Burkholder, Robert J.
    IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2018, 66 (06) : 3034 - 3045
  • [25] Detecting Subsurface Voids From GPR Images by 3-D Convolutional Neural Network Using 2-D Finite Difference Time Domain Method
    Yamaguchi, Takahiro
    Mizutani, Tsukasa
    Meguro, Kimiro
    Hirano, Takuichi
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 15 : 3061 - 3073
  • [26] Inversion imaging method for concrete non-destructive testing based on GPR
    Ding Liang
    Han Bo
    Liu Run-Ze
    Zhang Jian-Qing
    CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2012, 55 (01): : 317 - 326
  • [27] Migration imaging processing of subgrade cavity GPR detection based on TUFK method
    Zhang, Liang
    Zhang, Sheng
    Deng, Zongwei
    Ling, Tonghua
    ENVIRONMENTAL EARTH SCIENCES, 2024, 83 (09)
  • [28] Deep learning based method for 3D reconstruction of underground pipes in 3D GPR C-scan data
    Zhou, Yibo
    Zhang, Ju
    Hu, Qingwu
    Zhao, Pengcheng
    Yu, Fei
    Ai, Mingyao
    Huang, Yuchun
    TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2024, 150
  • [29] 3-D GPR data analysis for high-resolution imaging of shallow subsurface faults: the Mt Vettore case study (Central Apennines, Italy)
    Ercoli, Maurizio
    Pauselli, Cristina
    Frigeri, Alessandro
    Forte, Emanuele
    Federico, Costanzo
    GEOPHYSICAL JOURNAL INTERNATIONAL, 2014, 198 (01) : 609 - 621
  • [30] A comparison between two measurement configurations for full 3D GPR imaging
    Gennarelli, G.
    Catapano, I.
    Persico, R.
    Soldovieri, F.
    2014 8TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP), 2014, : 3374 - 3377