资源简介

摘要： 针对无人机本身质量轻、荷载低,自带的POS数据精度不高,原始影像外方位元素不准且很难估算等问题,提出了一种基于线性变换的非迭代算法求解无人机外方位角元素的方法。该方法无需进行最小二乘迭代就可以直接计算出外方位角元素,且所求出的外方位角元素精度较高,可以对POS数据进行一定的修正,且修正之后POS数据精度有了较大的改善。实验结果表明:该方法所求得的外方位元素可以作为后续影像匹配、相对定向的初始值,能够在一定程度上满足无人机影像分析应用需求。 关键词： POS数据;  共线方程;  外方位角元素;  无人机影像     Abstract: Because the UAV(Unmanned Aerial Vehicle) is light\|weighted,low\|loaded and the accuracy of its own build\|in POS data measuring instrument is not high,and the original image of the exterior orientation element is not only inaccurate,but also difficult to estimate,this paper based on the non-iterative solution of linear transformation, proposes a method of calculating UAV exterior azimuth elements that can calculate the exterior azimuth elements directly without the traditional Least\|squares Iterative Method.The accuracy of the exterior orientation elements obtained by this method is higher,and the obtained elements can revise the data of the POS at the same time.Compared with the coordinate precision of ground test point calculated by the original data,the POS data has been greatly improved.The result shows that the acquired exterior azimuth elements can be more definitely used as the initial value of the subsequent image matched,relative orientation to meet the application demands of UAV image analysis. 

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