Radius estimation for subsurface cylindrical objects detected by ground penetrating radar

被引:0
|
作者
Shihab, S [1 ]
Al-Nuaimy, W [1 ]
Eriksen, A [1 ]
机构
[1] Univ Liverpool, Dept Elect Engn & Elect, Liverpool L69 3GJ, Merseyside, England
关键词
GPR; pattern recognition; curve filling; pipe delection;
D O I
暂无
中图分类号
O59 [应用物理学];
学科分类号
摘要
Hyperbolae are common features in typical GPR scans that may result from localised reflectors (such as rocks), or from a buried cylindrical-shaped objects (such as pipes or drums). The shapes of these hyperbolae are influenced by both the nature of the subsurface reflector as well as the relative permittivity of the medium in which the objects are located. It is this uncertainty about what a hyperbola in a GPR scan actually represents, that has made it very difficult to make accurate estimations from GPR data, with regard to the buried object itself on one hand, and to the medium surrounding it on the other. In this paper, a novel general equation for hyperbolae which result from buried cylinders is presented which allows for cylinders of arbitrary radius, resulting in a more accurate estimation of the relative permittivity of the surrounding medium and of the depth, in addition to the radius information. This is achieved by subjecting the radargrams to a series of image processing stages followed by a curve-fitting procedure specifically developed for hyperbolae. The fitting technique is applied on a variety of synthetic hyperbolae that are generated to emulate reflections from targets of varying depth and radius and buried in a range of dielectrics. The results indicate this technique is fully capable of successfully estimating the depth and radius to within 1%. Further application to control site data has also given similar results, validating the method and justifying the assumptions used.
引用
收藏
页码:319 / 322
页数:4
相关论文
共 50 条
  • [1] Radius estimation for cylindrical objects detected by ground penetrating radar
    Shihab S.
    Al-Nuaimy W.
    Subsurface Sensing Technologies and Applications, 2005, 6 (2): : 151 - 166
  • [2] Radius estimation of subsurface cylindrical objects from ground-penetrating-radar data using full-waveform inversion
    Liu, Tao
    Klotzsche, Anja
    Pondkule, Mukund
    Vereecken, Harry
    Su, Yi
    van der Kruk, Jan
    GEOPHYSICS, 2018, 83 (06) : H43 - H54
  • [3] Anomaly Detection of Subsurface Objects Using Handheld Ground-Penetrating Radar
    Ho, K. C.
    Harris, Samuel
    Zare, Alina
    Cook, Matthew
    DETECTION AND SENSING OF MINES, EXPLOSIVE OBJECTS, AND OBSCURED TARGETS XX, 2015, 9454
  • [4] Clutter reduction techniques of Ground Penetrating Radar for detecting subsurface explosive objects
    Smitha, N.
    Singh, Vipula
    2016 INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND EMBEDDED SYSTEMS (ICICES), 2016,
  • [5] Subsurface permittivity estimation from ground-penetrating radar measurements
    Walker, Paul D.
    Bell, Mark R.
    IEEE National Radar Conference - Proceedings, 2000, : 341 - 346
  • [6] Subsurface permittivity estimation from ground-penetrating radar measurements
    Walker, PD
    Bell, MR
    RECORD OF THE IEEE 2000 INTERNATIONAL RADAR CONFERENCE, 2000, : 341 - 346
  • [7] Ground-penetrating radar for Observing tree trunks and other cylindrical objects
    Jezova, Jana
    Mertens, Laurence
    Lambot, Sebastien
    CONSTRUCTION AND BUILDING MATERIALS, 2016, 123 : 214 - 225
  • [8] Subsurface Propagation Velocity Estimation Methods in Ground-Penetrating Radar: A Review
    Panda, Swarna Laxmi
    Maiti, Subrata
    Sahoo, Upendra Kumar
    IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 2022, 10 (04) : 70 - 89
  • [9] Ground penetrating radar applied to subsurface culverts
    Luo, Tess
    Zhu, Song
    Yikeremu, Yiliminuer
    Zhu, Jiasong
    Genderen, John van
    GEO-SPATIAL INFORMATION SCIENCE, 2023, 27 (06): : 2092 - 2108
  • [10] Statistical method to detect subsurface objects using array ground-penetrating radar data
    Xu, XY
    Miller, EL
    Rappaport, CM
    Sower, GD
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (04): : 963 - 976