基于高分卫星姿态监测的姿态参数算法优化

Attitude Parameter Algorithm Optimization Based on Gaofen Satellite Attitude Monitoring

目前航天测绘相机几何参数的在轨标定通常经由地面检校场数据处理完成。然而,由于一次摄影中难以保证获取的地面检校场影像完整,使得在轨标定周期较长,进而导致实时监测与标定非常困难。“高分十四号”卫星搭载了一种新的姿态测定系统,利用高精度的相机光轴监测实现对相机几何参数的在轨实时标定。文章在此基础上对高分卫星星地相机间夹角在轨解算方案进行了优化,并基于数值仿真和在轨实测数据进行了分析,结果显示优化算法可以进一步提高影像内定向稳定度和最终的定位精度,未来有望在高精度立体测绘应用中发挥重要作用。

At present,the on-orbit calibration of geometric parameters of space mapping camera is usually processed by using ground inspection field data after acquiring images,which is a mature and widely used method.A large number of on-orbit calibration experiences have proved that due to the influence of weather and other factors,it is difficult to ensure the integrity of the ground inspection field image acquired in a single photography,which makes the on-orbit calibration based on the inspection field need a long period to obtain effective results,thus making it difficult to realize real-time monitoring and calibration.To solve this problem,the Gaofen-14 satellite is equipped with a new attitude measurement system,which uses high-precision camera optical axis monitoring to realize real-time calibration of the geometrical parameters of the space camera in orbit.On this basis,the on-orbit solution of the angle between satellite and earth cameras of high-resolution satellite is optimized,and the accuracy of key parameters obtained from the remote sensing data is further improved.Based on the numerical simulation and on-orbit measured data,the analysis is carried out.At present,relevant production tests have been carried out,and the algorithm can play a role in the production and application of high-precision stereo mapping.