稀少控制的消费型无人机精度验证方法

High precision verification method for consumer UAV with rare control

针对无人机影像构建大区域高精度三维重建需要大量控制点的问题,本文提出稀少控制的消费型无人机高精度三维重建方法。通过对大区域进行测区划分,避免单架次获取数据难以获取整个测区数据;然后,对不同测区分别进行区域自由网平差,确保小区范围误差分布一致;再进行引入控制点的整体区域网平差,确保大区域整体绝对定位精度满足工程要求。实验结果表明:该方法可以有效获取大区域高精度测绘产品生产,为相关工程提供一种技术参考。

In view of the small acquisition range of single flight of consumer unmanned aerial vehicle(UVA)and the difficulty of large-area accuracy to meet the application requirements,a large-area high-precision three-dimensional reconstruction method of consumer UAV with sparse control was proposed in this paper.Through the division of survey areas in large areas,it is difficult to obtain the data of the whole survey area for a single flight;Then,regional free network adjustment was carried out for different survey areas to ensure that the error distribution in the small area was consistent;Then carry out the overall regional network adjustment with the introduction of control points was applied to ensure that the overall absolute positioning accuracy of large areas meets the engineering requirements.The experimental results showed that this method could effectively obtain the high-precision real scene three-dimensional model of large area,and provide a technical reference for related projects.