搭载POS数据的无人机影像提高定位精度的方法

A Method to Improve Positioning Accuracy of UAV Image Based on POS Data

针对无人机航测依赖原始POS数据成像地理目标定位的精度较低问题,提出了一种建立误差模型纠正POS数据用于无人机成像的方法。鉴于原始POS数据存在系统误差,通过分析其误差来源,并根据奇、偶行带间影像外方位线元素误差具有相反性,建立POS数据纠正模型;利用误差改正数对原始机载POS数据进行纠正,并用改正后POS数据进行影像坐标定位精度对比。实验结果表明,纠正后的POS数据减小了系统误差,可以快速、有效地提高无人机影像地理坐标定位精度。

Aiming at the problem of low accuracy of imaging geographic target positioning based on original POS data in aerial survey of UAV,an error model is proposed to correct POS data for UAV imaging.In view of the systematic error of original POS data,the correction model of POS data is established by analyzing the error source and the opposite error of the external line elements between odd and even lines.The original airborne POS data are corrected with error correction number,and the corrected POS data is used to compare the positioning accuracy of image coordinates.The results show that the corrected POS data reduces the system error,which can improve the positioning accuracy of UAV image geographic coordinates quickly and effectively.