School of Mechanical Electronic & Information Engineering, China University of Mining and Technology (Beijing), No. Ding-11, College Road, Haidian District, Beijing 100083, China.
China Academy of Safety Science and Technology, No. 32, Beiyuan Road, Chaoyang District, Beijing 100012, China.
Sensors (Basel). 2018 Dec 12;18(12):4401. doi: 10.3390/s18124401.
An integrated sensor system comprised of a terrestrial laser scanner (TLS), corner reflectors (CRs), and high precision linear rail is utilized to validate ground-based synthetic aperture radar (GB-SAR) interferometric micro-displacement measurements. A rail with positioning accuracy of 0.1 mm is deployed to ensure accurate and controllable deformation. The rail is equipped with a CR on a sliding platform for mobility. Three smaller CRs are installed nearby, each with a reflective sticker attached to the CR's vertex; the CRs present as high-amplitude points both in the GB-SAR images and the TLS point cloud to allow for accurate data matching. We analyze the GB-SAR zero-baseline repeated rail differential interferometry signal model to obtain 2D interferograms of the test site in time series, and then use TLS to obtain a 3D surface model. The model is matched with interferograms to produce more intuitive 3D products. The CR displacements can also be extracted via surface reconstruction algorithm. Finally, we compared the rail sensor measurement and TLS results to optimize coherent scatterer selection and filter the data. The proposed method yields accurate target displacement results via quantitative analysis of GB-SAR interferometry.
利用由地面激光扫描仪(TLS)、角反射器(CR)和高精度线性导轨组成的集成传感器系统来验证基于地面的合成孔径雷达(GB-SAR)干涉测量微位移。部署具有 0.1mm 定位精度的导轨以确保准确和可控的变形。导轨上安装有用于移动的带有 CR 的滑动平台。附近还安装了三个较小的 CR,每个 CR 的顶点都附有反光贴纸;在 GB-SAR 图像和 TLS 点云中,CR 呈现为高振幅点,以允许进行精确的数据匹配。我们分析了 GB-SAR 零基线重复轨道差分干涉信号模型,以获得测试场地的时间序列 2D 干涉图,然后使用 TLS 获得 3D 表面模型。该模型与干涉图匹配,以生成更直观的 3D 产品。还可以通过曲面重建算法提取 CR 位移。最后,我们比较了轨道传感器测量和 TLS 结果,以优化相干散射体选择并对数据进行滤波。该方法通过对 GB-SAR 干涉测量的定量分析,得出了准确的目标位移结果。