Relative Orientation Method of UAV Images without Ground Control Points
-
摘要: 针对无人机空中姿态不稳定造成影像相对定向精度较低的问题,提出了基于POS(positionand orientationsystem)数据生成无人机影像航带及组成立体像对的方法.并根据相对定向原理,将无人机的POS数 据作为相对定向的先验约束条件与误差方程一起进行平差,以重新构建代价函数,进行影像的相对定向.为验证 该方法的有效性,将其与常规的相对定向方法进行了对比实验.实验结果表明:将POS数据作为先验约束条件, 能够使相对定向精度提高10%以上,特别是在无人机影像畸变较大的情况下能获得较好的改善效果.Abstract: In order to solve the problem of low accuracy in image relative orientation due to the posture instability of unmanned aerial vehicle (UAV), a method to generate UAV image strips and constitute pair of stereoscopic images based on POS (position and orientation system) data was proposed. In accordance with the principle of relative orientation, UAV POS data were used as the priori constraint in relative orientation and adjusted with error equations to reconstruct the cost function and conduct the relative orientation of images. In order to verify the validity of this method, it was compared with the conventional relative orientation method. The experimental results show that it can raise the accuracy of relative orientation by 10% to use UAV POS data as the priori constraint. Especially to images with large distortion, the orientation accuracy can be improved greatly.
点击查看大图
计量
- 文章访问数: 1898
- HTML全文浏览量: 69
- PDF下载量: 1546
- 被引次数: 0