论文标题
通过椭圆形倒置模型估算GPR图像的管道方向和半径
Estimating the Direction and Radius of Pipe from GPR Image by Ellipse Inversion Model
论文作者
论文摘要
地面穿透性雷达（GPR）被广泛用作估计埋藏公用事业的一种非破坏性方法。当GPR的检测方向垂直于管道，将在GPR B-scan图像上形成双曲线特征。但是，在实际应用中，现有管道图上管道的方向可能不准确，并且很难确保GPR的移动方向实际上是垂直于地下管道的。在本文中，提出了一个新型模型来估计管道的方向和半径，并从GPR B-SCAN图像中修改现有的管道图。该模型由两个部分组成：GPR B扫描图像处理和椭圆迭代算法（EIIA）。首先，使用提取向下开放点集处理GPR B-scan图像。然后将获得的点集迭代地倒向埋入管道的椭圆横截面，这是由GPR检测方向和管道方向之间的角度引起的。通过最大程度地减少从提取点设置到倒出椭圆的代数距离的总和，确定了最有可能的管道方向和半径。进行了现实世界数据集的实验，结果证明了该方法的有效性。
Ground Penetrating Radar (GPR) is widely used as a non-destructive approach to estimate buried utilities. When the GPR's detecting direction is perpendicular to a pipeline, a hyperbolic characteristic would be formed on the GPR B-scan image. However, in real-world applications, the direction of pipelines on the existing pipeline map could be inaccurate, and it is hard to ensure the moving direction of GPR to be actually perpendicular to underground pipelines. In this paper, a novel model is proposed to estimate the direction and radius of pipeline and revise the existing pipeline map from GPR B-scan images. The model consists of two parts: GPR B-scan image processing and Ellipse Iterative Inversion Algorithm (EIIA). Firstly, the GPR B-scan image is processed with downward-opening point set extracted. The obtained point set is then iteratively inverted to the elliptical cross section of the buried pipeline, which is caused by the angle between the GPR's detecting direction and the pipeline's direction. By minimizing the sum of the algebraic distances from the extracted point set to the inverted ellipse, the most likely pipeline's direction and radius are determined. Experiments on real-world datasets are conducted, and the results demonstrate the effectiveness of the method.
