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。
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 measurement method is 12.1 mm,which is an improvement of 38.9%in accuracy compared to before processing.the accuracy of surface horizontal movement measurement is 21.6mm.
作者
施青刚
SHI Qinggang(159th Brigade,Guizhou Provincial Coalfield Geological Bureau,Liupanshui,Guizhou Province,553500 China)
出处
《科技资讯》
2024年第16期203-205,共3页
Science & Technology Information
关键词
无人机
变形监测
下沉提取
水平移动提取
UAV
Deformation monitoring
Sinking extraction
Horizontal movement extraction