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The target detection for GPR images based on curve fitting

机译:基于曲线拟合的GPR图像目标检测

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Due to the complexity of the medium composition, physical characteristics and the spreading of electromagnetic waves, the extraction and automatic target detection of the Ground-penetrating Radar (GPR) is extremely complicated and has become an important issue in the practical application of GPR. In this paper, a method based on curve fitting is proposed by using the hyperbolic echo characteristics. The edge lines of GPR images firstly obtained by using image preprocessing methods and hyperbolas are fitted to approximate the edges. Finally, hyperbolic echo apex positions in the GPR images are extracted and marked on their apexes. The experimental results show that all targets are detected correctly.
机译:由于介质成分的复杂性,物理特性和电磁波的传播,探地雷达(GPR)的提取和自动目标检测极为复杂,已成为GPR实际应用中的重要问题。利用双曲回波特性,提出了一种基于曲线拟合的方法。首先使用图像预处理方法和双曲线对GPR图像的边缘线进行拟合,以近似边缘。最后,提取GPR图像中的双曲回声顶点位置并标记在其顶点上。实验结果表明,可以正确检测到所有目标。

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