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基于地月合影图像的“嫦娥5T”指向校正算法
卜彦龙1, 张强2, 王航2, 梁立波2, 邱如金2
1.北京航天飞行控制中心 航天飞行动力学重点实验室, 北京 100094;2.北京航天飞行控制中心 飞行器长期管理室, 北京 100094
摘要:
以“嫦娥5T”地月合影图像作为基本数据,提出一种基于信息融合的相机指向校正方法。首先利用形态分析从合影图像中提取天体的形心坐标,然后构建目标函数,通过优化算法估计相机的安装误差矩阵。该方法的典型优势是只需要利用单个相机对天体所成的单幅图像,便可快速确定相机指向。仿真数据和实测数据得到相机指向误差估计值的偏差保持在1%度量级,证明了算法的有效性。算法可以为实际工程任务和应用提供参考。
关键词:  星际导航;地月合影;相机校正;信息融合
DOI:10.15982/j.issn.2095-7777.2017.01.010
分类号:
基金项目:国家自然科学基金资助项目(41204026)
Camera Pointing Correction Algorithm for Chang'e-5T Probe Based on Earth-Moon Group Images
BU Yanlong1, ZHANG Qiang2, WANG Hang2, LIANG Libo2, QIU Rujin2
1.Aerospace Flight Dynamics Laboratory, Beijing Aerospace Control Center, Beijing 100094, China;2.Dept. Spacecraft Management, Beijing Aerospace Control Center, Beijing 100094, China
Abstract:
In this paper, a camera pointing correction algorithm is proposed based on Earth-Moon group images of Chang'e-5T. Firstly, centroid coordinates of the two celestial bodies are extracted from the Earth-Moon group image using a morphological analysis method. Then an optimization function is constructed to estimate the installation error of the camera. The typical advantage of the algorithm is that the pointing error of the onboard camera can be corrected easily by one interstellar image. Accuracies of corrected results based on simulated data and the actual data of Chang'e-5T all reach the order of 0.01 degree, which verify the efficiency of the algorithm. All the work is meaningful to actual engineering application.
Key words:  interstellar navigation;Earth-Moon group image;pointing correction;information fusion