航空遥感运动补偿用POS高阶误差模型的建立与分析

Establishing and analysis of POS high-order error model for motion compensation in aerial remote sensing

位置姿态系统(position and orientation system,POS)作为航空遥感中运动补偿的通用载荷,其精度直接影响成像质量。为提高POS的定位定姿精度,在15维传统误差模型的基础上考虑了陀螺和加速度计的刻度因子误差和安装误差的标定残差对POS精度的影响,并使用随机常值、一阶马尔科夫过程表示陀螺随机漂移和加速度计随机偏置,建立了一个39维的高阶误差模型。为了评价该模型的准确性和实用性,将其与其他的误差模型比较,进行了POS与相机的联合飞行实验。实验结果表明,基于39维高阶误差模型的POS精度较其他的误差模型有明显提高。

Position and orientation system （POS） for motion compensation in aerial remote sensing has been universally acknowledged, and its accuracy has decisive effects on the quality of imaging. In order to improve the position and orientation accuracy of POS, a precise high-order error model with 39 dimensions was derived, which considers the influence of scale factor error, installation errors of the gyro and accelerometer; and uses random constants and first-order Markov process model to express the gyro drift and accelerometer bias based on the 39 dimension traditional error model. To evaluate the veracity and practicability of the 39-dimension error model, the model was compared with other error models in a POS-camera combined flight experiment. Experiment results show that the accuracy of POS based on the 39-dimension error model is improved apparently.