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

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.