Abstract
Traditionally, most star identification algorithms are based on the characteristics of angular distance, such as polygon match algorithms, triangle algorithms and group match algorithms. Though they are easy to use, these algorithms require a relatively large storage capacity because their matching features are line segments (angular distances) or triangles.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Padgett C, Kreutz-Delgado K (1997) A grid algorithm for autonomous star identification. IEEE Trans Aerosp Electr Syst 33(1):202–213
Padgett C, Kreutz-Delgado K, Udomkesmalee S (1997) Evaluation of star identification techniques. J Guid Control Dyn 22(2):259–267
Wei X (2004) A research on star identification methods and relevant technologies in star sensor. Doctoral Thesis of Beijing University Aeronautics and Astronautics, Beijing, pp 62–96
Zhang G, Wei X, Jiang J (2008) Full-sky autonomous star identification based on radial and cyclic features of star pattern. Image Vis Comput 26(7):891–897
Wei X, Zhang G, Jiang J (2004) A star map identification algorithm using radial and cyclic features. Opto-Electr Eng 31(8):4–7
Wei X, Zhang G, Jiang J (2009) A star identification algorithm based on log-polar transform. AIAA J Aerosp Comput Inf Commun 6(8):483–490
Wei X, Zhang G, Jiang J (2006) A star identification algorithm based on log-polar transformation. Opt Tech 32(5):678–681
Shwartz EL (1977) Spatial mapping in the primate sensory projection: analytic structure and relevance perception. Biol Cybern 25:181–194
Tao Y, Ioerger TR, Tang YY (2001) Extraction of rotation invariant signature based on fractal geometry. Int Conf Image Process 1:1090–1093
Kageyu S, Ohnishi N, Sugie N (1991) Augmented multi-layer perceptron for rotation-and-scale invariant hand-written numeral recognition. IEEE Int Joint Conf Neural Netw 1:54–59
Chen Zhaoyang, Ding M, Zhou C (1999) Target searching method based on log-polar coordinate mapping. Infrared Laser Eng 28(5):39–42
Knuth DE, Morris JH, Pratt VR (1977) Fast pattern matching in strings. SIAM J Comput 6(1):323–350
Wu S, Manber U (1992) Agrep—a fast approximate pattern-matching tool. In: Usenix winter 1992 technical conference, San Francisco, pp 153–162
Du MW, Chang SC (1994) An approach to designing very fast approximate string matching algorithm. IEEE Trans Knowl Data Eng 6(4):620–632
Yang J (2007) A research on star identification algorithm and RISC technology application. Doctoral Thesis of Beijing University Aeronautics and Astronautics, Beijing, pp 34–47
Yang Jian, Zhang G, Jiang J (2008) A star identification algorithm for un-calibrated star sensor cameras. Opt Tech 34(1):26–32
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2017 National Defense Industry Press and Springer-Verlag GmbH Germany
About this chapter
Cite this chapter
Zhang, G. (2017). Star Identification Utilizing Star Patterns. In: Star Identification. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53783-1_4
Download citation
DOI: https://doi.org/10.1007/978-3-662-53783-1_4
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-53781-7
Online ISBN: 978-3-662-53783-1
eBook Packages: EngineeringEngineering (R0)