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机构地区:[1]哈尔滨工业大学空间控制与惯性技术研究中心,黑龙江哈尔滨150001 [2]哈尔滨工业大学卫星技术研究所,黑龙江哈尔滨150001
出 处:《光学精密工程》2007年第9期1427-1431,共5页Optics and Precision Engineering
基 金:国家安全重大基础研究资助项目(973)(No.51312)
摘 要:提出了一种局部区域提取星像的算法。该算法采用星跟踪方法提取已知恒星星像坐标,根据这些已知恒星信息在星图中适当范围内提取未知恒星星像坐标并且识别这些未知恒星。对该算法进行了观星测试和在轨验证,实验结果表明:提取星像坐标时只须扫描星图的45%,从而提高了数据更新率;识别未知恒星时由全天球变为整个天球的0.3%,从而提高了识别率。An obtaining method for star locations in local region of star image is presented. The recog- nized star locations are obtained by star tracking algorithm, and the knowledge of these recognized stars is used to obtain unrecognized star locations in suitable region of star image and identify these unrecognized stars. The obtaining method of star locations in location region of star image is successfully demonstrated by real sky experiments and on-orbit experiments. The experiment results show that only 45 percent of star image need to be scanned for obtaining unrecognized star locations, which can improve the update rate of star sensor, and 0. 3 percent of guide stars is identified to recognize these unrecognized stars in Field Of View(FOV), Which can reduce the fault rate of star pattern recognition.
分 类 号:TP391.4[自动化与计算机技术—计算机应用技术] V448.222[自动化与计算机技术—计算机科学与技术]
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