Radius estimation for cylindrical objects detected by ground penetrating radar

被引:118
作者
Shihab S. [1 ]
Al-Nuaimy W. [1 ]
机构
[1] Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3GJ, Brownlow Hill
来源
Subsurface Sensing Technologies and Applications | 2005年 / 6卷 / 2期
基金
英国工程与自然科学研究理事会;
关键词
Curve fitting; Cylindrical target; GPR; Pattern recognition; Radius estimation;
D O I
10.1007/s11220-005-0004-1
中图分类号
学科分类号
摘要
In this paper, a model is presented for the hyperbolic signature of a buried cylindrical target that takes into account the radius of the cylinder, This allows for cylinders of arbitrary radii to be detected and characterized uniquely from a single radargram, 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 real hyperbolic signatures that are collected from a controlled test site, The results indicate this technique is fully capable of successfully estimating the depth and radius to within 10%, which validates the method and justify the assumptions used. © 2005 Springer Science+Business Media, Inc.
引用
收藏
页码:151 / 166
页数:15
相关论文
共 7 条
[1]  
Stolte C., Nick K., Eccentricity-migration: A method to improve the imaging of pipes in radar reflection data, Fifth International Conference on Ground Penetrating Radar, pp. 723-733, (1994)
[2]  
Olhoeft G., Maximizing the information return fromground penetrating radar, J. Appl. Geophys., 43, pp. 175-187, (2000)
[3]  
Al-Nuaimy W., Huang Y., Nguyen V., Eriksen A., Automatic detection of hyperbolic signatures in ground-penetrating radar data, SPIE International Conference on Subsurface and Surface Sensing Technologies and Applications III, 4491, pp. 327-335, (2001)
[4]  
Al-Nuaimy W., Huang Y., Nakhkash M., Fang M., Nguyen V., Eriksen A., Automatic detection of buried utilities andsolid objects using neural networks and pattern recognition, J.Appl. Geophys., 43, 2-4, pp. 157-165, (2000)
[5]  
Fitzgibbon A., Pilu M., Fisher R., Direct least-squares fitting of ellipses, IEEE Trans. Pattern Analysis Machine Intelligence, 21, 5, pp. 476-480, (1999)
[6]  
O'Leary P., Zsombor-Murray P., Direct and specificleast-square fitting of hyperbolæ and ellipses, J. Elect. Imaging, 13, 3, pp. 492-503, (2004)
[7]  
Shihab S., Al-Nuaimy W., Huang Y., Eriksen A., A comparison of segmentationtechniques for targets extraction in ground penetrating radardata, Near-Surface Geophys., 2, 1, pp. 49-57, (2004)