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基于区域滤波的模糊星图复原方法

王军 何昕 魏仲慧 穆治亚 吕游 何家维

王军, 何昕, 魏仲慧, 穆治亚, 吕游, 何家维. 基于区域滤波的模糊星图复原方法[J]. 中国光学, 2019, 12(2): 321-331. doi: 10.3788/CO.20191202.0321
引用本文: 王军, 何昕, 魏仲慧, 穆治亚, 吕游, 何家维. 基于区域滤波的模糊星图复原方法[J]. 中国光学, 2019, 12(2): 321-331. doi: 10.3788/CO.20191202.0321
WANG Jun, HE Xin, WEI Zhong-hui, MU Zhi-ya, LV You, HE Jia-wei. Restoration method for blurred star images based on region filters[J]. Chinese Optics, 2019, 12(2): 321-331. doi: 10.3788/CO.20191202.0321
Citation: WANG Jun, HE Xin, WEI Zhong-hui, MU Zhi-ya, LV You, HE Jia-wei. Restoration method for blurred star images based on region filters[J]. Chinese Optics, 2019, 12(2): 321-331. doi: 10.3788/CO.20191202.0321

基于区域滤波的模糊星图复原方法

doi: 10.3788/CO.20191202.0321
基金项目: 

国家自然科学基金资助项目 51605465

详细信息
    作者简介:

    王军(1991-), 男, 吉林白山人, 博士研究生, 2014年于大连理工大学获得工学学士学位, 主要从事数字图像处理及光电测量方面的研究。E-mail:wangjun114@mails.ucas.ac.cn

    何昕(1966-),男,吉林长春人,研究员,博士生导师,主要从事数字图像处理及光电测量等方面的研究。E-mail:hexin6627@sohu.com

  • 中图分类号: V448.22

Restoration method for blurred star images based on region filters

Funds: 

National Natural Science Foundation of China 51605465

More Information
  • 摘要: 当星敏感器在动态条件下工作时,在成像的过程中星点会因能量的分散而出现运动模糊现象,导致图像的信噪比降低,星点的模糊区域很难被提取,从而降低了星点质心的定位精度,严重影响星敏感器的姿态测量精度。为此,文中提出了一种基于区域滤波的模糊星图复原方法,在有效提高图像信噪比的同时可提高星点质心的定位精度。首先,根据星敏感器的工作特性,建立了不同工作条件下星点质心的运动模型。然后,根据运动模型确定星点质心的运动轨迹,进而提取星点的模糊区域,再利用图像处理算法对模糊区域内外的图像分别进行预处理。最后,利用图像复原算法对模糊星图进行复原。实验结果表明:在2(°)/s的动态条件下,区域滤波算法能够有效提高模糊星图的信噪比,并且复原图像中星点质心的定位误差不超过0.1 pixel,可以满足星敏感器对高质心定位精度的要求。
  • 图  1  星敏感器的姿态测量模型

    Figure  1.  Attitude measurement model of star sensor

    图  2  星点的模糊区域

    Figure  2.  Blurred region of star

    图  3  图像的退化/复原模型

    Figure  3.  Degradation and restoration model of image

    图  4  静态和动态条件下的模拟星图及其灰度分布

    Figure  4.  Simulated star images and gray distribution under static and dynamic conditions

    图  5  去噪算法的处理时间

    Figure  5.  Processing time of each method

    图  6  复原后的星图及其灰度分布

    Figure  6.  Restored star image and gray distribution

    图  7  去噪算法在不同噪声方差条件下对应的星点的质心偏差

    Figure  7.  Star centroid error for different methods under various noise variances

    图  8  角速度变化条件下星点的质心偏差

    Figure  8.  Star centroid errors under conditions of variable angular velocity

    表  1  星敏感器参数

    Table  1.   Parameters of star sensor

    编号 性能指标 参数
    1 视场/(°) 5×5
    2 焦距/mm 60
    3 分辨率 512×512
    4 积分时间/ms 60
    5 探测灵敏度/Mv +6.5
    下载: 导出CSV

    表  2  去噪算法在不同噪声方差下的峰值信噪比

    Table  2.   PSNRs for different denoising methods with various noise variances

    噪声方差 噪声图像 自适应小波阈值 开操作 区域滤波
    30 28.529 38.902 53.004 63.191
    50 27.933 36.497 48.780 60.539
    70 27.634 34.900 46.379 58.129
    下载: 导出CSV

    表  3  复原星图中星点的质心坐标

    Table  3.   Star centroid coordinates in restored star image

    星点编号 质心坐标真值/pixel 开操作/pixel 区域滤波/pixel
    1 (229.993 8, 26.014 4) (230.072 6, 25.957 0) (230.005 3, 26.015 9)
    2 (128.128 4, 126.016 6) (128.189 2, 125.867 5) (128.117 3, 126.034 0)
    3 (228.022 5, 169.090 1) (227.980 1, 169.281 5) (228.030 1, 169.098 4)
    4 (86.018 2, 223.948 3) (85.985 4, 224.075 2) (86.032 8, 223.952 0)
    5 (239.087 0, 368.965 6) (239.000 0, 369.024 1) (239.093 6, 368.960 1)
    6 (332.005 8, 384.940 0) (331.879 4, 385.028 5) (332.002 2, 384.921 9)
    7 (402.950 1, 336.028 7) (402.985 9, 336.166 7) (402.942 6, 336.024 1)
    下载: 导出CSV

    表  4  星敏感器的角速度

    Table  4.   Angular velocities of star sensor

    角速度矢量编号 x y z
    A 0.309 3 0.411 0 0.266 4
    B 0.838 5 0.919 3 0.648 3
    C 1.407 4 1.452 9 1.063 5
    D 1.856 4 1.902 1 1.639 3
    下载: 导出CSV
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出版历程
  • 收稿日期:  2018-01-30
  • 修回日期:  2018-02-11
  • 刊出日期:  2019-04-01

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