摘要
本文提出了一种基于无人机倾斜摄影测量的真实场景三维重建方法,旨在提高城市空间信息的采集效率和3D建模精度。该系统由五个高精度相机组成,通过全球定位系统(GPS)和北斗卫星导航系统(BDS)定位,并由单片机控制相机的同步拍摄。通过分布式并行计算和图形处理单元(GPU)加速影像处理与三维重建,提高了模型的构建效率。实验结果表明,本文提出的方法在城市空间信息的采集和真实场景三维重建中表现出较高的精度。基于检查点的测试结果表明,重建模型的均方根误差(RMSE)在平面方向为0.030 m,高程方向为0.036 m,符合1:500测绘精度要求,能够有效应用于大规模城市空间建模中。
This paper proposes a real scene 3D reconstruction method based on UAV oblique photogrammetry,aiming to improve the efficiency of urban spatial information acquisition and 3D modeling accuracy.The system consists of five high-precision cameras,which are positioned by the Global Positioning System(GPS)and the Beidou Satellite Navigation System(BDS),and the synchronous shooting of the cameras is controlled by a single-chip microcomputer.Image processing and 3D reconstruction are accelerated by distributed parallel computing and graphics processing units(GPUs),which improves the efficiency of model construction.Experimental results show that the method proposed in this paper shows high accuracy in the acquisition of urban spatial information and 3D reconstruction of real scenes.The test results based on checkpoints show that the root mean square error(RMSE)of the reconstructed model is 0.030 m in the plane direction and 0.036 m in the elevation direction,which meets the 1:500 surveying and mapping accuracy requirements and can be effectively applied to large-scale urban spatial modeling.
作者
谭浩
Tan Hao(Liaoning Corps of China Building Materials Industry Geological Exploration Center,Shenyang,China)
出处
《科学技术创新》
2025年第7期108-111,共4页
Scientific and Technological Innovation
关键词
倾斜摄影
三维重建
航空测绘
oblique photography
3D reconstruction
aerial surveying and mapping
