摘要
无人机遥感技术在环境监测、城市规划和农业管理等领域具有重要的应用价值。文章提出了一种基于点云数据处理的无人机遥感数据实时分析方法,重点研究了无人机数据获取、点云预处理、地物分类和三维建模等关键技术。通过对某山区植被覆盖情况的案例分析,验证了该方法的可行性与有效性。实验结果表明,采用无人机LiDAR技术能够高效获取高精度三维数据,结合点云处理算法,可实现对植被空间分布和高度特征的精准监测,为无人机遥感技术的进一步应用与发展提供了有效的技术支撑。
Unmanned aerial vehicle(UAV)remote sensing technology has significant application value in fields such as environmental monitoring,urban planning and agricultural management.The article proposes a real-time analysis method for UAV remote sensing data based on point cloud data processing,with a focus on key technologies such as UAV data acquisition,point cloud preprocessing,ground object classification,and 3D modeling.Through a case analysis of the vegetation coverage in a certain mountainous area,the feasibility and effectiveness of this method were verified.The experimental results show that the application of UAV LiDAR technology can efficiently obtain high-precision three-dimensional data.Combined with point cloud processing algorithms,it can achieve precise monitoring of the spatial distribution and height features of vegetation,providing effective technical support for the further application and development of UAV remote sensing technology.
作者
张东
牛睿
ZHANG Dong;NIU Rui(Shandong Yellow River Administration Bureau,YRCC,Jinan 250100,China)
关键词
无人机遥感
点云处理
实时分析
数据处理
环境监测
UAV remote sensing
point cloud processing
real-time analytics
data processing
environmental monitoring
