Optics and Precision Engineering, Volume. 32, Issue 1, 111(2024)

Identification and suppression of stars under large range of star field density variation

Yukai YANG1,2,3, Jan GU4, Janli WANG1,2,3, and Junchi LIU1,2、*
Author Affiliations
  • 1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun30033, China
  • 2University of Chinese Academy of Sciences, Beijing100049, China
  • 3Jilin Provincial Key Laboratory of Intelligent Wavefront Sensing and Control, Changchun100, China
  • 463768 Unit of PLA, Xi'an710200, China
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    Figures & Tables(17)
    Stellar suppression with image differencing method
    Spatial distribution in consideration for selecting structuring element
    Flow chart of global track association algorithm
    Measured images for sparse stellar density, dense stellar density, and cloud cover scenes
    Spherical coordinate system
    Transformation of two spherical coordinates
    First equatorial system (HA-dec)
    Second equatorial system (RA-dec)
    Absolute errors of right ascension and declination under condition of static system errors of 2″,5″ and 10″, respectively
    Relative differences of right ascension and declination under different static system errors with time interval of 10 s
    Display panel of data processing software
    Measured images and validation results of proposed method under moderate star field density, dense star field density, and sparse star field density due to cloud or fog obstruction
    • Table 1. [in Chinese]

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      Table 1. [in Chinese]

      算法 1. 速度众数法

      输入: 相邻帧中的目标数据集合:Point1Point2

         第m帧中第n个目标的质心在图像中

         的像素坐标:posxmnposymn

         速度集合vecSpd

      输出: 速度众数:vxvy

      1: initialize: i=0,j=0

      2:   for i = 0 : Point1.size()-1 do

      3:     for j = 0 : Point2.size()-1 do

      4:       计算两帧中任意两目标的质心

              在水平与垂直方向上的偏差:

              dx2j_1i=absposx2j-posx1i

              dy2j_1i=absposy2j-posy1i

              将(dx2j_1i,dy2j_1i)加入vecSpd

      5:     end for

      6:   end for

      7: vxvyvecSpd出现次数最多的对应值

    • Table 1. Absolute errors of right ascension and declination under condition of static system error of 2″,5″ and 10″

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      Table 1. Absolute errors of right ascension and declination under condition of static system error of 2″,5″ and 10″

      位置指向偏差均值标准差最小值最大值
      2-0.972 814.008 9-130.457 8179.917 1
      赤经5-2.432 087.556 1-325.813 4437.544 3
      10-4.863 9350.229 6-650.525 5875.926 5
      20.979 02.015 9-2.446 02.828 2
      赤纬52.447 412.597 8-6.114 97.070 5
      104.894 750.391 5-12.229 914.141 1
    • Table 2. [in Chinese]

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      Table 2. [in Chinese]

      算法 2. 惯性坐标关联匹配法

      输入: 相邻帧中的恒星及中高轨目标数据集合:Point1

         Point2

         第m帧中第n个目标点的质心在惯性坐标系下的

         赤经赤纬:αmnδmn

         阈值:dThreshold

         速度波门:fRadius

      输出: 提取出的恒星集合:StarBlob

      1: initialize: i=0,j=0

      2: for i = 0 : Point1.size() - 1 do

      3:  for j = 0 : Point2.size() - 1 do

      4:   计算两帧中任意两目标的质心在水平与垂直

          方向上的偏差:

          dx2j_1i=absposx2j-posx1i);dy2j_1i=absposy2j-posy1i

      5:   计算两帧中任意两目标在惯性坐标系下的赤经赤纬差值:

          dα2j_1i=absα2j-α1i);dδ2j_1i=absδ2j-δy1i

      6:   if像素偏移值小于fRadius,且赤经赤纬小于dThreshold

      7:    将第1帧中的第i个目标与第2帧中的第j

           目标视为同一恒星加入StarBlob

      8:    end if

      9:  end for

      10: end for

    • Table 2. Relative differences of right ascension and declination under time interval of 10 seconds

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      Table 2. Relative differences of right ascension and declination under time interval of 10 seconds

      位置指向偏差均值标准差最小值最大值
      20.002 04.927 4×10-5-0.091 60.102 6
      赤经50.005 03.079 6×10-4-0.229 20.256 5
      100.010 000.12-0.459 20.512 9
      25.857 5×10-48.874 5×10-6-0.029 80.031 2
      赤纬50.001 55.546 6×10-5-0.074 40.078 1
      100.002 92.218 6×10-4-0.148 80.156 1
    • Table 3. Processing results of different stellar identification methods under different star field densities

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      Table 3. Processing results of different stellar identification methods under different star field densities

      星场

      密度

      辨识成功辨识时间/ms

      灰度

      投影法

      傅里叶-梅林

      速度

      众数法

      天文

      定位法

      本文

      方法

      灰度

      投影法

      傅里叶-梅林

      速度

      众数法

      天文、定位法

      本文

      方法

      10----1
      100235241521612
      500368654225836
      1 000--7632845
      5 000--11442693
    Tools

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    Yukai YANG, Jan GU, Janli WANG, Junchi LIU. Identification and suppression of stars under large range of star field density variation[J]. Optics and Precision Engineering, 2024, 32(1): 111

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    Paper Information

    Category:

    Received: Jun. 5, 2023

    Accepted: --

    Published Online: Jan. 23, 2024

    The Author Email: Junchi LIU (liujunchi703@163.com)

    DOI:10.37188/OPE.20243201.0111

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