A star map identification algorithm based on radial and cyclic features

Guofang Zhai; Weizhi Wang; Songbo Wu; Yunhua Zong; Jing-Jing Di

doi:10.1117/12.2579502

5 November 2020 A star map identification algorithm based on radial and cyclic features

Guofang Zhai, Weizhi Wang, Songbo Wu, Yunhua Zong, Jing-Jing Di

Proceedings Volume 11570, AOPC 2020: Telescopes, Space Optics, and Instrumentation; 115700E (2020) https://doi.org/10.1117/12.2579502
Event: Applied Optics and Photonics China (AOPC 2020), 2020, Beijing, China

Abstract

A full-sky autonomous star map identification algorithm based on radial and cyclic features is proposed. The algorithm defines a star pattern, composed of radial angular distances and circular angles. Then, a three-step strategy is adopted to find the correspondence of the sensor pattern and the catalog pattern, including initial lookup table match, cyclic dynamic match, and validation. A number of experiments are carried out on simulated and real star images. The simulation results show that the proposed method provides improved performance, especially on robustness against up to 6 false stars. Also, the average identification time is about 45ms, and memory requirement is 16MB, having a good satisfaction to the requirements of the target system.

Citation Download Citation

Guofang Zhai, Weizhi Wang, Songbo Wu, Yunhua Zong, and Jing-Jing Di "A star map identification algorithm based on radial and cyclic features", Proc. SPIE 11570, AOPC 2020: Telescopes, Space Optics, and Instrumentation, 115700E (5 November 2020); https://doi.org/10.1117/12.2579502

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