Research on 3D Surface Deformation Monitoring in Goaf Using UAV Technology
施青刚1
扫码查看
点击上方二维码区域，可以放大扫码查看
作者信息
1. 贵州省煤田地质局一五九队 贵州六盘水 553500
折叠
摘要
无人机摄影测量技术的快速发展使获取高精度和高分辨率的地理信息数据变得更加容易,但如何高效地处理这些海量数据仍然是当前无人机应用领域的热点之一.在现有无人机摄影测量技术的基础上,提出采用地表空间位移场的测量方法对采空耕地的三维变形数据进行研究.实验表明:对无人机原始数据直接计算所得首、末两期下沉中误差为19.8 mm;采用地表空间位移场的测量方法处理后的测量中误差为12.1 mm,较处理前精度提升38.9%,地表水平移动测量精度为21.6 mm.
Abstract
The rapid development of Unmanned Aerial Vehicle(UAV)Photogrammetry technology has made it easier to obtain high-precision and high-resolution geographic information data,but how to efficiently process these massive amounts of data remains one of the hot topics in the current field of UAV applications.On the basis of existing UAV Photogrammetry technology,this article proposes a measurement method using Surface Spatial Displacement Field to study the three-dimensional(3D)deformation data of goaf farmland.The experiment shows that the mean square error of the first and last two periods of subsidence directly calculated from the UAV raw data is 19.8mm,and the measurement mean square error processed using the surface spatial displacement field measure-ment method is 12.1 mm,which is an improvement of 38.9%in accuracy compared to before processing.the accu-racy of surface horizontal movement measurement is 21.6mm.
关键词
无人机/变形监测/下沉提取/水平移动提取
Key words
UAV/Deformation monitoring/Sinking extraction/Horizontal movement extraction
维普
万方数据