基于无人机和结构重建的高难度测量项目研究  

Research of Highly Difficult Measurement Project Based on UAV and Structure Reconstruction

作　　者：宋娟[1] 邵瑞影 朱青青[1] 董丽[1] 韩军[2] SONG Juan;SHAO Ruiying;ZHU Qingqing;DONG Li;HAN Jun(Institute of Intelligent Manufacturing,Qingdao Huanghai University,Qingdao 266427,China;College of Communication and Information Engineering,Shanghai University,Shanghai 200444,China)

机构地区：[1]青岛黄海学院智能制造学院,山东青岛266427 [2]上海大学通信与信息工程学院,上海200444

出　　处：《重庆理工大学学报（自然科学）》2020年第8期176-183,共8页Journal of Chongqing University of Technology：Natural Science

基　　金：国家自然科学基金面上项目(61471230);山东省自然科学基金项目(ZR2014JL044)。

摘　　要：为了解决极端地形的测绘和重建问题,提出一种基于运动与结构重建(Sf M)的无人机(UAV)测绘方法。该项目执行了3个方面的测绘:水平方向相机拍摄、45°倾斜的相机拍摄和前面两者的组合。为了生成点云和正射影像,通过合并的图像集合得到最终的摄影测量结果。另外,开发一个绘制等高线和垂直截面的软件程序,以表示测绘地形的几何特征。结果表明,所提方法的地貌形态表征方面更准确高效。测试飞行高度在100 m左右,x、y和z方向的标准误差(RMSE)分别为0.055、0.071和0.062 m,且测量项目实施的难度明显高于同类方法。In order to solve the problem of mapping and reconstruction of extreme terrain,a method of UAV mapping based on motion and structure reconstruction is proposed.The project implements three aspects of mapping:horizontal camera shooting,45 degree tilt camera shooting and the combination of the former two.In order to generate point clouds and orthophoto images,the final photogrammetric results are obtained by merging image sets.In addition,a software program for drawing contours and vertical sections is developed to represent the geometric features of topography.The results show that the proposed method is more accurate and efficient in morphological characterization.The standard errors of x,y and z directions(RMSE)are 0.055 m,0.071 m and 0.062 m respectively,and the difficulty of implementation of measurement projects is obviously higher than that of similar methods.

关 键 词：测绘 运动与结构重建 无人机 点云 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] P231[自动化与计算机技术—计算机科学与技术]