构架航线对无人机影像区域网平差精度影响分析

发布时间：2018-07-10 08:14

本文选题：无人机航空影像 + GPS辅助空中三角测量　；参考：《测绘科学》2017年01期

【摘要】：与三角翼相比,无人机航摄影像像幅小、模型连接性差、质量轻、航摄时姿态不稳定;这些因素导致无人机航摄影像成图精度较差。为了解决该问题,传统航测方法在每两张航摄影像间布设大量控制点,增强模型刚性;GPS辅助空中三角测量通过提高曝光点的点位精度,可以减少控制点的个数,但是由于无人机像幅小,控制点约束范围小,因而仍然需要大量的控制点。针对以上问题,文章在GPS辅助空中三角测量的基础上,通过布设架构航线,进而实现增加影像之间的重叠度,增强模型刚性的目的,从而实现在减少控制点个数的同时,保证无人机航摄影像区域网平差精度的提高。实验表明,该方法与单纯的依赖GPS辅助空三技术相比,在精度相近的基础上能够减少约50%的控制点布设数量,大大减少了外业工作量。
[Abstract]:Compared with delta wing, UAV aerial imaging image is smaller, model connectivity is poor, mass is light, aerial attitude is unstable, these factors result in poor accuracy of UAV aerial photography. To solve this problem, a large number of control points are set up between two aerial photography images by traditional aerial survey method, and the number of control points can be reduced by increasing the accuracy of exposure points by enhancing the model rigid GPS aided aerial triangulation. However, the UAV still needs a large number of control points because of its small image and limited range of control points. Aiming at the above problems, on the basis of GPS aided aerial triangulation, by setting up the frame route, the purpose of increasing the overlap between images and enhancing the rigidity of the model is realized, so as to reduce the number of control points at the same time. Ensure the improvement of the adjustment accuracy of aerial photography area network of UAV. The experimental results show that the method can reduce the number of control points by about 50% on the basis of the same precision and greatly reduce the workload of the field compared with the simple GPS-aided space three technology.
【作者单位】：中国科学院新疆生态与地理研究所;中国科学院大学;
【基金】：国家“863”项目(2013AA122302)
【分类号】：P231

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