复杂星空背景下的空间目标快速捕获算法  

Algorithm of Space Target Quick Acquisition in the Complex Background of the Sky

作　　者：杨元钊 余路伟 毛晓楠 闫晓军[1,2] 郑循江 YANG Yuan⁃zhao;YU Lu⁃wei;MAO Xiao⁃nan;YAN Xiao⁃jun;ZHENG Xun⁃jiang(Shanghai Institute of Spaceflight Control Technology,Shanghai 201109,China;Research and Development Center of Infrared Detection Technology,China Aerospace Science and Technology Corporation,Shanghai 201109,China)

机构地区：[1]上海航天控制技术研究所,上海201109 [2]中国航天科技集团公司红外探测技术研发中心,上海201109

出　　处：《光子学报》2020年第7期62-71,共10页Acta Photonica Sinica

基　　金：中国航天科技集团钱学森青年创新基金。

摘　　要：针对现有方法在大视场、高灵敏度条件下星空背景复杂导致的空间目标捕获速度慢的问题,利用大视场星图识别的优势,提出了复杂星空背景下的空间目标快速捕获算法.采用分级曝光策略,基于短曝光获取有限数量的恒星以大幅度提高星图识别速度;利用二维最大背景估计方法,实现星图预处理,获得质心数据信息;最后基于星图目标序列剔除自然天体.通过星图目标排序横向剔除,保证剔除准确性的前提下有效提高了剔除效率,实现了空间目标快速捕获.仿真试验结果表明,本文方法快速性好、准确率高,与已有算法中较快算法相比,目标捕获所用时间减少41.92%.As a solution of the slow space target acquisition caused by the complexity of starry sky background and the large field of view with relatively high sensitivity,a fast space target acquisition algorithm was proposed. This algorithm executes by taking advantage of star map recognition in large field of view. The speed of stars map recognition is largely improved by the short-time exposure on basis of the graded exposure strategy. Then,two-dimensional maximum background estimation method is used to realize star map preprocessing and obtain centroid data information. Finally,a natural object culling method based on star map target sequence is proposed. By horizontal culling of star map target sequence,the culling efficiency is effectively improved on the premise of ensuring the culling accuracy and realizing the rapid acquisition of space objects simultaneously. According to the simulation results,the proposed method is fast and accurate. Additionally,the period of target acquisition is reduced by 41.92% favorablely compared with competitors.

关 键 词：空间目标 捕获算法 分级曝光策略 星图识别 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]