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空间目标检测序列图像中恒星目标抑制

黄宗福, 孙刚, 陈曾平(国防科技大学ATR重点实验室, 长沙 410073)

摘 要
针对固定指向地基天文光电探测系统中数量众多、成像相似的恒星目标对空间目标检测的干扰,提出一种基于时空域融合处理的恒星目标抑制算法。在时域上改进图像差分算法,采用时域膨胀差分抑制恒星目标;在空域上对检测到的恒星目标采用数学形态学重构来恢复恒星目标的完整星像,进而将形态学重构前后的图像相消来抑制恒星目标。根据时空域融合处理机制的不同,给出了两种融合处理方法抑制恒星目标。通过实测数据对比,结果表明本文算法达到了良好的恒星目标抑制效果:1)能够较好地抑制恒星目标及其边缘像素;2)暗弱恒星目标也得到较好地抑制;3)恒星目标抑制后空间目标的信噪比得到了较大提升。
关键词
Stellar targets suppression in image sequences for space targets detection

Huang Zongfu, Sun Gang, Chen Zengping(ATR Key Lab, National University of Defense Technology, Changsha 410073, China)

Abstract
Regarding the numerous stellar targets with similar image characteristics that interfere with space targets detection in fixed-direction terrestrial astronomical opto-electronic observation systems, an algorithm of stellar targets suppression based on temporal-spatial domain fusion is proposed. In the time domain, the conventional image difference algorithm is improved and the dilative difference method is used to suppress stellar targets. In the space domain, mathematical morphological reconstruction is used to restore the full image of the detected stellar targets, and then stellar targets are suppressed through the difference between images before and after the morphological reconstruction. Based on different temporal-spatial domain fusion mechanics, two different temporal-spatial fusion methods are proposed to suppress stellar targets. Through comparison of real-measured data, the results show that the algorithm presented in this paper achieves a good stellar targets suppressing effect: 1)stellar targets and their edge pixels are efficiently suppressed; 2)the faint stellar targets are suppressed well; 3)signal-to-noise ratio of space targets are improved after the suppression of stellar targets.
Keywords

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