New Star-Pattern Identification Using a Correlation Approach for Spacecraft Attitude Determination

Cited 18 time in webofscience Cited 0 time in scopus
  • Hit : 249
  • Download : 0
A new star-pattern identification algorithm using correlation pattern-matching is proposed in this study. The new approach is based upon maximizing the target cost function, which is formed by the correlation between an original image and a target image. The image is reconstructed from the centroid positions of stars that are modeled as two-dimensional Gaussian functions. The correlation function in the form of cross-convolution in the image plane can be expressed by Fourier transform, so it is constructed analytically using only the centroid positions of stars in the image plane. The proposed algorithm compared with conventional pattern-matching techniques is simpler and more reliable, as verified by simulation study.
Publisher
AMER INST AERONAUT ASTRONAUT
Issue Date
2011-01
Language
English
Article Type
Article
Citation

JOURNAL OF SPACECRAFT AND ROCKETS, v.48, no.1, pp.182 - 186

ISSN
0022-4650
DOI
10.2514/1.49675
URI
http://hdl.handle.net/10203/99628
Appears in Collection
AE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 18 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0