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Received:October 14, 2012 Revised:December 11, 2012
Received:October 14, 2012 Revised:December 11, 2012
中文摘要: 本文所提出的GPR目标双曲线识别方法包含两个步骤: 首先对GPR回波图像进行边缘检测, 然后用模板匹配算法提取出感兴趣的数据; 进而根据图像中目标回波的双曲线特征, 对提取出的数据采用改进的Hough变换检测目标双曲线, 去除虚假目标并实现目标双曲线参数的精确提取. 实测数据检测结果表明: 该方法能快速地拟合出回波中目标双曲线的多个参数并将其成功地将其恢复出来.
Abstract:The detection and recognition method of GPR targets hyperbola presented in this paper has two steps. First, the GPR image edge was detected, then template matching algorithm is used to identify out the pixels of hyperbola; Second, according to the hyperbola feature of GPR B-scan data, a modified Hough transform is used to detect the hyperbola from the data that being matched before, aims to get rid of the false target's hyperbola and recognize the parameters accurately. The method had been employed to find and fit targets hyperbola from GPR data. The results evaluated from real data show that all parameters of targets hyperbola are fitted fast and correctly.
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夏锋,黄廷磊,刘邵华.地下管线探测回波中目标双曲线的快速拟合方法.计算机系统应用,2013,22(5):85-89
XIA Feng,HUANG Ting-Lei,LIU Shao-Hua.A Rapid Method of Fitting out Targets Hyperbola of Underground Pipeline Prospecting Image.COMPUTER SYSTEMS APPLICATIONS,2013,22(5):85-89
夏锋,黄廷磊,刘邵华.地下管线探测回波中目标双曲线的快速拟合方法.计算机系统应用,2013,22(5):85-89
XIA Feng,HUANG Ting-Lei,LIU Shao-Hua.A Rapid Method of Fitting out Targets Hyperbola of Underground Pipeline Prospecting Image.COMPUTER SYSTEMS APPLICATIONS,2013,22(5):85-89
