基于偏移定位技术的水利探测方法及应用

为了抑制探地雷达原始图像中较为强烈的直达波,突显较弱的目标信号,实现对隐患位置的精确定位,提出了结合鲁棒主成分分析的Stolt偏移方法。首先使用探地雷达分析程序包matGPR 3.1生成合成数据,模拟坝体和坝体内空洞模型,通过扫描处理得到探地雷达原始图像,然后利用鲁棒主成分分析方法提取目标双曲线信号,最后采用Stolt偏移技术对目标信号进行聚焦处理,并通过最小熵速度估计选取合适的偏移速度得到最佳偏移效果。实验结果表明,提出的方法能够有效地抑制杂波,更清楚地判别目标空洞的位置。与之前方法相比,其得到的图像分辨率更高,性能更优,在水利工程隐患探测方面具有一定的应用价值。

Water conservancy detection method and application based on migration locationing technology

In order to suppress the strong direct wave in the original image of GPR, highlight the weak target signal and realize the accurate location of the hidden danger, a Stolt migration method combining with robust principal component analysis (RPCA) is proposed.Firstly, the synthetic data are generated by using the GPR analysis program package matGPR3.1 to simulate the dam-void model, and the original image of the GPR is obtained through scanning processing.Then the RPCA method is used to extract the hyperbolic signal of the target.Finally, the target signal is focused by Stolt migration technique, and the optimal migration effect is obtained by selecting the appropriate migration velocity through minimum entropy velocity estimation.The experimental results show that the proposed method can effectively suppress the clutter and identify the location of the target void more clearly.Compared with the previous methods, the image obtained by the method has higher resolution and better performance, and has a certain application value in the detection of hidden dangers in water conservancy project.