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北京航空航天大学 仪器科学与光电工程学院2. 中国资源卫星应用中心
收稿日期:2012-07-11,
修回日期:2012-09-18,
网络出版日期:2013-02-23,
纸质出版日期:2013-02-15
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魏新国 王清龙 李健 赫华颖. 星敏感器和遥感相机主光轴交联角的在轨检校[J]. 光学精密工程, 2013,21(2): 274-280
WEI Xin-guo WANG Qing-long LI Jian HE Hua-ying. On-orbit calibration for cross-angle between optical axes of star sensor and remote sensing camera[J]. Editorial Office of Optics and Precision Engineering, 2013,21(2): 274-280
魏新国 王清龙 李健 赫华颖. 星敏感器和遥感相机主光轴交联角的在轨检校[J]. 光学精密工程, 2013,21(2): 274-280 DOI: 10.3788/OPE.20132102.0274.
WEI Xin-guo WANG Qing-long LI Jian HE Hua-ying. On-orbit calibration for cross-angle between optical axes of star sensor and remote sensing camera[J]. Editorial Office of Optics and Precision Engineering, 2013,21(2): 274-280 DOI: 10.3788/OPE.20132102.0274.
为了提高遥感影像产品的定位精度,研究了星敏感器主光轴和遥感相机主光轴交联角的在轨检校方法。利用高分辨率卫星遥感影像的严格成像模型,将改进的非直接求解模型引入到遥感相机安装误差的标定中,提出一种对遥感相机内外方位元素进行统一检校的方法,实现了星上姿态确定系统和遥感相机之间系统误差的精确补偿。对来自遥感卫星的整轨遥感图像进行处理,利用最优化模型确定遥感相机和星敏感器姿态关系矩阵,进而检校出交联角。最后,利用单像对地目标定位原理,对检校精度进行了验证。实验结果表明,校正后地面点经纬度方向平面位置RMS误差分别为9.31 m和9.28 m,显示通过内外方位元素统一检校,遥感图像的定位精度得到显著提高。
A calibration method for the cross-angle between the optical axis of a remote sensing camera and that of a star sensor was investigated to improve the positioning accuracy of remote sensing images. On the basis of the rigorous space resection model
the unified calibration method of interior and exterior orientation elements was proposed by introducing an improved non-direction solving model into the calibration of mounting error of the remote sensing camera. By which
the system error between attitude determining sensor and remote sensing camera was compensated accurately. In processing the remote sensing images from a satellite
the relationship matrix between remote sensing camera and star sensor attitude were determined by the optimized model
then the cross-angle was calibrated accurately. Finally
the cross-angle model was verified with the geometrical relationship of single-image targeting. After the calibration
the plane position RMS errors are 9.31 m and 9.28 m in latitude and longitude directions
respectively
which shows that the positioning accuracy of the remote sensing images have been improved greatly by the proposed method.
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