基于无人机影像区域网平差精度研究

轻型无人机以其机动灵活的特点,能够适应地形复杂、多云地区的飞行任务。但是由于其镜头小,获取的影像具有像幅小、数量多、基线短、重叠度不规则等特点,使其处理方法和传统的航空影像有所不同。本文对轻型无人机影像数据利用常规光束法区域网平差和POS辅助光束法区域网平差分别进行处理,结果表明,常规方法的精度要优于POS方法,最后对如何提高POS方法的精度提出了一些建议。

Study on Block Adjustment Accuracy Based on UAV Image

With the characteristic of flexibility, Unmanned Aerial Vehicles （UAV） can adapt to the flight mission of complex terrain in cloudy areas. Since the lens are short and the obtained image with the characteristic of small size, large number, short baseline and irregular overlapping degree, this method is different from the one to process traditional aviation images. In this paper, the image data of UAV are processed using the conventional block aerotriangulation by bundle method and the POS - supported block aerotriangulation by bundle method. The results show that the precision of conventional method is better than the POS - supported one. The paper also puts forward some suggestions on how to improve the accuracy of POS method.