A Robust Local Magnitude Fitting Method for Star Identification

Star identification is the most important part of satellite attitude determination. Existing star image identification algorithms show lower robustness with an increase in the number of stars. This study proposes a method for star identification based on local magnitude fitting. First, the similarit...

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Published inIEEE sensors journal Vol. 25; no. 1; pp. 824 - 834
Main Authors Xie, Junfeng, Li, Xiang, Wang, Xiao, Zeng, Guoqiang, Mo, Fan
Format Journal Article
LanguageEnglish
Published New York IEEE 01.01.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Attitude determination
Classification algorithms
Feature extraction
magnitude
Navigation
Noise
Normal distribution
Parameter identification
Position measurement
relative installation
Remote sensing
Robustness
Satellite imagery
Satellite tracking
Satellites
Sensors
star identification
Star trackers
Stars
Storage capacity
Online AccessGet full text
ISSN1530-437X
1558-1748
DOI10.1109/JSEN.2024.3487580

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Abstract Star identification is the most important part of satellite attitude determination. Existing star image identification algorithms show lower robustness with an increase in the number of stars. This study proposes a method for star identification based on local magnitude fitting. First, the similarity of neighboring star images is used for denoising. Then, the Gaussian distribution is used to determine the star point range and calculate the real grayscale cumulative value (RGCV). Finally, the star magnitude fitting range is obtained using the star tracker parameters and the fitting parameters between the RGCV and the star magnitude are determined. This method is used to optimize the rotation invariant additive vector sequence algorithm in this article. The results show that this method can reduce the storage capacity by 96%, enhance the efficiency of the algorithm and achieve a recognition rate of above 98% in real-situations. Furthermore, this method can also be applied to other star identification algorithms.
AbstractList Star identification is the most important part of satellite attitude determination. Existing star image identification algorithms show lower robustness with an increase in the number of stars. This study proposes a method for star identification based on local magnitude fitting. First, the similarity of neighboring star images is used for denoising. Then, the Gaussian distribution is used to determine the star point range and calculate the real grayscale cumulative value (RGCV). Finally, the star magnitude fitting range is obtained using the star tracker parameters and the fitting parameters between the RGCV and the star magnitude are determined. This method is used to optimize the rotation invariant additive vector sequence algorithm in this article. The results show that this method can reduce the storage capacity by 96%, enhance the efficiency of the algorithm and achieve a recognition rate of above 98% in real-situations. Furthermore, this method can also be applied to other star identification algorithms.
Author Mo, Fan
Xie, Junfeng
Zeng, Guoqiang
Li, Xiang
Wang, Xiao
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Cites_doi 10.1109/62.145117
10.1109/TAES.2007.4383600
10.1109/iscid.2008.90
10.1109/7.570743
10.1109/TAES.2006.314572
10.3788/aos201232.0323004
10.1109/TAES.2008.4560198
10.2514/2.4589
10.1109/JSEN.2016.2553245
10.1016/j.imavis.2007.10.006
10.3390/s20020374
10.1109/TAES.2019.2961826
10.1109/TAES.2018.2864431
10.1016/j.actaastro.2017.12.003
10.1109/TAES.2009.5089538
10.1016/j.actaastro.2016.11.015
10.1109/TAES.2015.140311
10.1002/j.2161-4296.2004.tb00349.x
10.1016/j.asr.2018.02.029
10.1109/ACCESS.2019.2961271
10.1109/jsen.2017.2772272
10.1109/TAES.2013.6558041
10.1364/OE.26.005164
10.1109/TAES.2018.2845198
10.1109/TAES.2014.130729
10.3390/s20092579
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References ref13
ref12
ref15
ref14
ref30
Guangjun (ref5) 2006; 27
ref11
ref10
ref2
ref1
ref17
ref16
ref19
Haiyi (ref29) 2020; 40
ref18
(ref8) 2009
ref24
ref23
ref26
ref25
ref20
ref22
ref21
Guangjun (ref28) 2011; 1
ref27
ref7
ref9
ref4
ref3
ref6
References_xml – ident: ref3
  doi: 10.1109/62.145117
– ident: ref14
  doi: 10.1109/TAES.2007.4383600
– ident: ref12
  doi: 10.1109/iscid.2008.90
– ident: ref13
  doi: 10.1109/7.570743
– ident: ref18
  doi: 10.1109/TAES.2006.314572
– volume: 40
  start-page: 1
  issue: 5
  year: 2020
  ident: ref29
  article-title: System design and key technologies of GF-7 satellite
  publication-title: Chinese. Space. Sci. Tech.
– ident: ref30
  doi: 10.3788/aos201232.0323004
– ident: ref9
  doi: 10.1109/TAES.2008.4560198
– ident: ref26
  doi: 10.2514/2.4589
– ident: ref6
  doi: 10.1109/JSEN.2016.2553245
– ident: ref19
  doi: 10.1016/j.imavis.2007.10.006
– ident: ref22
  doi: 10.3390/s20020374
– volume: 1
  start-page: 33
  volume-title: Star Identification
  year: 2011
  ident: ref28
  article-title: Processing of star catalog and star image
– year: 2009
  ident: ref8
  article-title: The critical algorithm of data processing of satellite attitude determination based on star sensor
– ident: ref27
  doi: 10.1109/TAES.2019.2961826
– ident: ref25
  doi: 10.1109/TAES.2018.2864431
– ident: ref11
  doi: 10.1016/j.actaastro.2017.12.003
– ident: ref15
  doi: 10.1109/TAES.2009.5089538
– ident: ref21
  doi: 10.1016/j.actaastro.2016.11.015
– ident: ref20
  doi: 10.1109/TAES.2015.140311
– ident: ref4
  doi: 10.1002/j.2161-4296.2004.tb00349.x
– ident: ref24
  doi: 10.1016/j.asr.2018.02.029
– volume: 27
  start-page: 1150
  issue: 6
  year: 2006
  ident: ref5
  article-title: Star map identification based on a modified triangle algorithm
  publication-title: Acta. Aeronautica. Et. Astronautica. Sinica.
– ident: ref17
  doi: 10.1109/ACCESS.2019.2961271
– ident: ref7
  doi: 10.1109/jsen.2017.2772272
– ident: ref16
  doi: 10.1109/TAES.2013.6558041
– ident: ref1
  doi: 10.1364/OE.26.005164
– ident: ref23
  doi: 10.1109/TAES.2018.2845198
– ident: ref10
  doi: 10.1109/TAES.2014.130729
– ident: ref2
  doi: 10.3390/s20092579
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Snippet Star identification is the most important part of satellite attitude determination. Existing star image identification algorithms show lower robustness with an...
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SubjectTerms Algorithms
Attitude determination
Classification algorithms
Feature extraction
magnitude
Navigation
Noise
Normal distribution
Parameter identification
Position measurement
relative installation
Remote sensing
Robustness
Satellite imagery
Satellite tracking
Satellites
Sensors
star identification
Star trackers
Stars
Storage capacity
Title A Robust Local Magnitude Fitting Method for Star Identification
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