摘要
针对消费型无人机在复杂区域三维(3D)重建精度难以保证问题,本文借助消费型无人机飞马D2000完成复杂地形的实景三维数据生成。首先,通过参数畸变与格网畸变结合的方式对多视影像数据进行畸变处理,消除多视影像畸变误差;然后,利用带有相对姿态参数的多视影像光束法区域网平差的数学模型进行平差处理,避免平差解算参数过多导致解算参数不稳定问题;最后,通过工程实例验证本文方法可行性,为相关工程提供参考。
Aiming at the problem that it is difficult to ensure the accuracy of three-dimensional(3D)reconstruction of consumer unmanned aerial vehicle(UAV)in complex areas,this paper completed the real scene 3D data generation of complex terrain with the help of consumer UAV Pegasus d2000.Firstly,the multi view image data was distorted by the combination of parameter distortion and grid distortion to eliminate the distortion error of multi view image;Then,the mathematical model of multi view image beam method regional network adjustment with relative attitude parameters avoided the problem that too many adjustment parameters lead to the instability of calculation parameters;Finally,the feasibility of this method was verified by an engineering example,which provides a reference for related projects.
作者
刘飞鹏
LIU Feipeng(Jiangxi Nuclear Surveying and Mapping Institute Group Company Limited,Nanchang Jiangxi 330199,China)
出处
《北京测绘》
2023年第2期185-189,共5页
Beijing Surveying and Mapping
关键词
复杂区域
影像畸变改正
多视影像平差
三维(3D)重建
精度验证
complex area
image distortion correction
multi view image adjustment
three-dimensional(3D)reconstruction
accuracy verification
