Star pattern recognition based on features invariant under rotation


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详细

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.

作者简介

Di Jiang

Department of Astronautics; Laboratories of Image, Signal Processing and Acoustics

编辑信件的主要联系方式.
Email: dijiang@ulb.ac.be
中国, Xi’an; Brussels

Ke Zhang

Department of Astronautics

Email: dijiang@ulb.ac.be
中国, Xi’an

O. Debeir

Laboratories of Image, Signal Processing and Acoustics

Email: dijiang@ulb.ac.be
比利时, Brussels

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