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The target detection for GPR images based on curve fitting

机译:基于曲线拟合的GPR图像的目标检测

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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:由于介质组成的复杂性,物理特性和电磁波的扩展,地面穿透雷达(GPR)的提取和自动目标检测非常复杂,并且已成为GPR实际应用中的重要问题。本文采用双曲线回波特性提出了一种基于曲线拟合的方法。通过使用图像预处理方法和双曲线首先获得的GPR图像的边缘线以近似边缘。最后,GPR图像中的双曲线回波顶点位置被提取并标记在它们的顶点上。实验结果表明,正确检测到所有目标。

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