视觉引导的卫星传感器自动准直快速搜索方法  

Fast search method for automatic collimation of satellite sensors with visual guidance

作　　者：袁红磊 李广云[1] 范百兴[1] 王力[1] 李玉杰 隆昌宇[3] YUAN Honglei;LI Guangyun;FAN Baixing;WANG Li;LI Yujie;LONG Changyu(Institute of Geospatial Information,Information Engineering University,Zhengzhou 450000,China;Zhengzhou Xinda Institute of Advanced Technology,Zhengzhou 450000,China;Beijing Institute of Space Craft Environment Engineering,Beijing 100094,China)

机构地区：[1]信息工程大学地理空间信息学院,河南郑州450000 [2]郑州信大先进技术研究院,河南郑州450000 [3]北京卫星环境工程研究所,北京100094

出　　处：《测绘通报》2025年第1期66-71,共6页Bulletin of Surveying and Mapping

基　　金：国家自然科学基金(42071454)。

摘　　要：随着航天卫星产业的迅速发展,卫星制造和发射进入了快速增长的阶段。随着批量卫星的生产制造,卫星传感器的位姿测量逐渐向自动化、智能化方向发展。为满足大批量卫星自动化准直测量技术的需求,相应的技术方法也应运而生。本文在现有的卫星自动精测技术的基础上,对自动精测模型中光十字丝提取模型和自动化搜索算法进行了深入分析;针对自动精测模型存在的缺陷,提出了一种基于图卷积的光十字丝提取算法和自动搜索算法,极大地增大了自动搜索范围,以及提升了卫星自动化准直测量的效率。With the rapid development of the aerospace satellite industry,the manufacturing and launch of satellites have entered a phase of rapid expansion.Concurrently,as mass satellite production takes precedence,the posture measurement of satellite sensors is progressively advancing towards automation and intelligence.In response to the requirements of automated attitude determination and control measurement technology for large-scale satellites,corresponding technical methodologies have emerged.Building upon the existing automated attitude determination and control measurement technology for mass-produced satellites,this paper conducts a thorough analysis of the optical crosshair extraction model and automated search algorithm within the current models.Addressing identified shortcomings,the paper proposes novel optical crosshair extraction and automated search algorithms,significantly enhancing the efficiency of satellite automated attitude determination measurements.

关 键 词：卫星自动化测量 十字丝图像识别 准直立方镜自动搜索 视觉引导 图卷积 

分 类 号：P237[天文地球—摄影测量与遥感]