星敏感器抗杂光的复合型背景估计星图处理算法
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1.中国科学院光电技术研究所;2.中国科学院空间光电精密测量技术重点实验室;3.空军装备部驻成都地区第五军事代表室

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Composite Background Estimation Star Image Processing Algorithm Resistant to Stray Light for Star Sensor
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1.The Fifth Military Representative Office of the Air Force Equipment Department in Chengdu;2.Institute of Optics and Electronics, Chinese Academy of Sciences

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    摘要:

    星敏感器在太空作业时,易受到太阳光、月光和地气光等杂光的干扰,导致拍摄的星图灰度整体升高,背景均匀性较差,难以准确提取到星点坐标。针对上述问题并结合现有算法提出了一种复合型背景估计的杂光干扰下星图处理算法。首先,星点具有经点扩散成像后尺寸为直径3x3至7x7的特征,设计相应的背景估计模板,之后为提高算法鲁棒性,提高局部信息的利用率,再设计一个像素估计模板,两个估计模板同时计算后处理数据实现阈值分割,之后进行星点质心计算。通过试验证明该方法可以较好的抵抗杂光干扰,提高杂光背景下星点提取的精度。

    Abstract:

    When the star sensor is operating in space, it is easy to be interfered by stray light such as sunlight, moonlight and earth-air light. As a result, the overall gray level of the star map taken is increased, the background uniformity is poor, and it is difficult to accurately extract the star coordinates. Aiming at the above problems and combining with the existing algorithms, a composite background estimation star map processing algorithm under stray light interference is proposed. First of all, star points have the characteristics of diameter 3x3 to 7x7 after point diffusion imaging, and the corresponding background estimation template is designed. Then, in order to improve the robustness of the algorithm and improve the utilization rate of local information, a pixel estimation template is designed. The two estimation templates calculate the post-processing data at the same time to achieve threshold segmentation, and then the centroid of star points is calculated. This method can better resist stray light interference and improve the accuracy of star extraction under stray light background.

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历史
  • 收稿日期:2023-03-11
  • 最后修改日期:2023-03-11
  • 录用日期:2023-03-20
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