基于行数据扫描的星空多目标星点提取方法  

Space Multi-target Star Extraction Algorithm Based on Line Data Scanning

作　　者：李寅龙[1,2] 何海燕 张凤[1] 李婧[1] LI Yinlong;HE Haiyan;ZHANG Feng;LI Jing(Beijing Institute of Space Mechanics & Electricity,Beijing 100094,China;Beijing Key Laboratory of Advanced Optical Remote Sensing Technology,Beijing 100094,China)

机构地区：[1]北京空间机电研究所,北京100094 [2]先进光学遥感技术北京市重点实验室,北京100094

出　　处：《航天返回与遥感》2019年第2期79-88,共10页Spacecraft Recovery & Remote Sensing

摘　　要：为了解决传统方法无法实时获取星空目标位置问题,文章提出了一种基于行数据扫描的星空多目标星点提取方法,通过阈值提取、行目标提取、星空目标识别和质心坐标计算等四个步骤来快速提取星空目标。为了使该算法能够更有效地运行在嵌入式设备中,对算法进行合理配置,将其分割成FPGA端和DSP端。通过试验验证,在输入图像分辨率为1 280像素×1 024像素的情况下,文章提出的算法星点提取时间小于0.17ms。相比较传统方法,能够在不损失星空目标定位精度的前提下,提高提取速率,更适用于星空背景下的多目标快速星点提取。It is insufficient for the traditional methods to extract the space targets and get its location in real time. Therefore, a fast space multi-target star extraction algorithm is proposed based on line data scanning in the paper, which can quickly extract the space target through four steps: threshold extraction, line target extraction, target recognition and centroid coordinates calculation. In order to run more effectively in the embedded device, this target acquisition algorithm is properly configured and divided into FPGA and DSP ends. Experimental results show that star extraction can be achieved in less than 0.17ms when the input image resolution is 1 280 pixels×1 024 pixels. Compared with the traditional methods, this algorithm can improve extraction rate without losing positioning precision, which renders the algorithm more applicable for multi-target centroid extraction of space multi-target.

关 键 词：星空多目标 空间目标捕获 星点提取 行数据扫描 航天遥感 

分 类 号：TP753[自动化与计算机技术—检测技术与自动化装置]