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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。
Aimed at the problems of light weight, low load, low accuracy of POS data, inaccuracy of POS data, uncertainty of orientations outside of original image and so on, this paper proposes a non-iterative algorithm based on linear transformation Azimuth elements of the method. The method can directly calculate the outer azimuth element without the least square iteration, and the obtained outer azimuth element accuracy is higher, POS data can be modified to a certain extent, and after the correction, the POS data accuracy is larger improve. The experimental results show that the external elements obtained by this method can be used as initial values of subsequent image matching and relative orientation to meet the application requirements of UAV image analysis to a certain extent.