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作 者:金杰 谢俊峰[1,2] 李响 JIN Jie;XIE Jun-feng;LI Xiang(School of Surveying and Geographical Science,Liaoning Technical University,Fuxin 123000,China;Land Satellite Remote Sensing Application Center,MNR,Beijing 100048,China)
机构地区:[1]辽宁工程技术大学测绘与地理科学学院,辽宁阜新123000 [2]自然资源部国土卫星遥感应用中心,北京100048
出 处:《激光与红外》2021年第7期962-968,共7页Laser & Infrared
基 金:国家自然科学基金(No.41571440,No.41771360,No.41971426);北京金桥工程种子基金(No.ZZ19013);十三五航天预研项目(No.D040105,D040106);重点研发计划(No.SQ2019YFE020224);高分测绘应用示范项目二期(No.42-Y30B04-9001-19/21)资助。
摘 要:甚高精度星敏感器往往需要小视场、大面阵以确保较高的角分辨率,然而视场小容易导致星图识别可靠性降低。针对多视场甚高精度星敏感器,本文提出了一种多主星模型的多视场星图识别方法。该方法首先以某一视场星敏感器为基准,利用星敏感器之间的相对安装关系,将其他视场星敏感器探测到的星点转换到基准坐标系下的矢量,然后在每个视场中各自确定一个主星,以主星为基准,利用角距信息,星等信息作为识别标识,构造多个基准三角形模型,利用分段拟合的查找方式,实现多个视场联合星图识别。以高分七号卫星国产双视场星敏为对象,利用下传的原始星图进行试验,结果表明,相对于传统多视场星图识别算法而言,本文所提出的星图识别方法识别率达到99.6%,可靠性更好。High precision star sensors often need small field of view(FOV)and large array to ensure high angular resolution.However,small field of view tends to reduce the reliability of star recognition.A multi-FOV star recognition method based on multi-master star is proposed for multi-FOV high precision star sensors.This method first uses a FOV star sensor as a reference,and uses the relative installation relationship between the star sensors to convert the star points detected by other FOV star sensors into a vector in the reference coordinate system,and then determine a master star in the FOV,use the master star as the reference,use the angular distance information and the magnitude information as the recognition marks,construct multiple reference triangles.The search method of piecewise fitting is used to realize the star recognition of multi-FOV.Taking the Gaofen-7 satellite′s domestic dual-FOV star sensors as the object,the original star image downloaded was used for the experiment.The results show that,compared with the traditional multi-FOV star recognition algorithm,the recognition rate of the star recognition method proposed in this paper reaches 99.6%,and the reliability is better.
关 键 词:星图识别 多视场 安装关系 基准三角形 分段拟合
分 类 号:P237[天文地球—摄影测量与遥感] TP391[天文地球—测绘科学与技术]
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