ABSTRACT

In this letter, we propose an edge detection algorithm and a framework of points matching for ground penetrating radar (GPR) images to achieve the B-Scan image registration of GPR. In our proposed algorithm, the robust edge feature information of GPR images is detected by the improved phase congruency model. Then, the feature points are detected by the GPR image’s edge feature in the curvature scale space. Finally, a novel similarity metric is defined for feature point registration. Experimental results show that compared to the classic registration method and the state-of-the-art feature points registration methods, the proposed method shows the best matching performance and robustness in GPR images.

摘要

在这封信中，我们提出了一种用于探地雷达（GPR）图像的边缘检测算法和点匹配框架，以实现 GPR 的 B-Scan 图像配准。在我们提出的算法中，通过改进的相位一致性模型检测 GPR 图像的鲁棒边缘特征信息。然后，通过 GPR 图像的边缘特征在曲率尺度空间中检测特征点。最后，为特征点配准定义了一种新的相似度度量。实验结果表明，与经典配准方法和最先进的特征点配准方法相比，该方法在 GPR 图像中表现出最佳的匹配性能和鲁棒性。