翟永立,丁雷,裴浩东

• 1:中国科学院红外探测与成像技术重点实验室
• 2:中国科学院上海技术物理研究所
• 3:中国科学院大学

摘要(Abstract)：

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。

关键词(KeyWords)： 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

Abstract:

Keywords:

基金项目(Foundation): 国家“863”计划项目(2015AA7046604)~~

作者(Author): 翟永立,丁雷,裴浩东

DOI: 10.16652/j.issn.1004-373x.2018.22.001

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