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Star pattern recognition based on features invariant under rotation

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Abstract

A star pattern recognition algorithm is proposed on the basis of features invariant under rotation. Guidance star identification via the algorithm is performed on star images captured by star sensor and simulated images. The results indicate that the proposed method presents better robustness against position and magnitude noise than conventional ones and eliminates rotation procedure and avoids the influence caused by grid size choice. The database feature storage for each pattern consists of simply four floating point numbers.

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Authors and Affiliations

  1. Department of Astronautics, Northwestern Polytechnical University, Xi’an, China

    Di Jiang & Ke Zhang

  2. Laboratories of Image, Signal Processing and Acoustics, Université libre de Bruxelles, Brussels, Belgium

    Di Jiang & O. Debeir

Authors
  1. Di Jiang
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  2. Ke Zhang
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  3. O. Debeir
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Corresponding author

Correspondence to Di Jiang.

Additional information

The article is published in the original.

Di Jiang. Born 1990. Joint-supervised PhD candidate in Universite libre de Bruxelles, Belgium and Northwestern Polytechnical University, China, received master’s degree in guidance and control in 2014. Researcher in Laboratory of Image, Signal Processing, and Acoustics of ULB and Laboratory of flight dynamics in NWPU. Area of research: pattern recognition in guidance system, processing of images, and information technologies of data compression. Publish 4 articles in journals and international conferences. Reviewer of Elsevier journal. The second prize of cubic satellite design competition in China, March 2013.

Ke Zhang. Born in 1968. Professor in Northwestern Polytechnical University (NWPU), received master’s degree in guidance and control in 1998. Associate dean of School of Astronautics in NWPU. Member of Chinese Society of Astronuatics. Area of research: image and signal processing, navigation and embedded control.

Debeir Olivier. Professor in Universite Libre de Bruxelles (ULB) since 2009. Responsible of the Image section of the Laboratories of Image, Signal processing and Acoustics (LISA) at the Ecole polytechnique of the ULB. Publish more than 30 articles in high-level journals and international conferences. Area of research: image processing and pattern recognition in various domains such as remote sensing and biomedical applications.

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Jiang, D., Zhang, K. & Debeir, O. Star pattern recognition based on features invariant under rotation. Pattern Recognit. Image Anal. 27, 532–537 (2017). https://doi.org/10.1134/S1054661817030178

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  • DOI: https://doi.org/10.1134/S1054661817030178

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