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利用互相关和Hough变换快速检测探地雷达目标 被引量:13

Fast Detection of Ground Penetrating Radar Objects Based on Cross Correlation and Hough Transform
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摘要 考虑到探地雷达目标检测效率低的问题,该文基于目标回波能量空间分布的三参数双曲线模型,提出了一种快速的地下目标检测算法。算法首先利用相邻1维回波的相关性提取回波双曲线,再能量加权拟合曲线以估计出回波模型的两个参数,最后通过1维Hough变换来完成目标检测与定位。实测数据实验结果表明该文算法在不降低目标检测性能和定位精度的同时,计算时间只有传统基于Hough变换检测算法的1.5%左右,计算量的理论分析证明了该文算法在计算效率上的优势。 Considering the issue of low computation efficiency of Ground Penetrating Radar(GPR) object detection method,a fast algorithm is proposed based on the spatial distribution of reflected energy,which is modeled as a three-parameter hyperbola.A reflection hyperbola is first extracted by utilizing the correlation between adjacent reflections.Being weighted with reflection energy,the hyperbola is then fitted to estimate the two parameters of the reflected model.Finally,the object detection and localization task is completed with one dimensional Hough transform.The efficiency of the proposed algorithm is demonstrated both theoretically and experimentally.Compared with the traditional algorithm based on Hough transform,the proposed algorithm consumes only 1.5% computational time without sacrificing the detection and localization performance.
出处 《电子与信息学报》 EI CSCD 北大核心 2013年第5期1156-1162,共7页 Journal of Electronics & Information Technology
关键词 探地雷达 目标检测 互相关 HOUGH变换 Ground Penetrating Radar(GPR) Objects detection Cross correlation Hough transform
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