一种基于改进霍夫变换的天基GEO目标快速检测算法  

A space-based GEO target fast detection algorithm based on improved Hough transform

作　　者：翟永立 丁雷[1,2] 裴浩东[1,2] ZHAI Yongli;DING Lei;PEI Haodong(Key Laboratory of Infrared System Detection and Imaging Technology,Chinese Academy of Sciences,Shanghai 200083,China;Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai 200083,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院红外探测与成像技术重点实验室,上海200083 [2]中国科学院上海技术物理研究所,上海200083 [3]中国科学院大学,北京100049

出　　处：《现代电子技术》2018年第22期1-4,共4页Modern Electronics Technique

基　　金：国家"863"计划项目(2015AA7046604)~~

摘　　要：分析GEO空间目标和恒星在高轨探测器上的运动特性和成像特点,提出一种基于改进Hough变换的空间目标检测算法,以便有效地从复杂星空背景下提取出空间目标。采用均值加方差的方式选取全局阈值;根据末帧差分图的疑似目标点确定进行Hough变换的区域和潜在的轨迹端点;使用改进的单维Hough变换进行轨迹判断。实验结果表明,与传统Hough对比,算法的复杂度、占用内存和计算量都有明显降低,算法所用时间减小50%,可见该算法可以用于空间目标在轨实时识别,并且对噪声有不错的抵抗能力。A space target detection algorithm based on the improved Hough transform is proposed by analyzing the motion feature and imaging characteristics of the GEO space targets and stars on the highorbit detector,so as to effectively extract space targets from the complex celestial background.The global threshold is selected by using the mean value and variance.The region for the Hough transform and the potential trajectory endpoints are determined according to the suspected target points of the last frame difference image.The improved singledimensional Hough transform is used to judge the trajectory.The experimental results show that,in comparison with the traditional Hough,the algorithm has obviouslyreduced complexity,occupied memory and computation quantity with its time consumption reduced by 50%,which indicates that the algorithm can be used for realtime onorbit recognition of space targets,and has a good antinoise capability.

关 键 词：GEO空间目标 在轨识别 目标检测 阈值分割 复杂星空背景 HOUGH变换 

分 类 号：TN957.52-34[电子电信—信号与信息处理] TP391.9[电子电信—信息与通信工程]