A study on the method of recognizing star maps in the all-sky region

Wenzhe Wang; Caidong Zhan; Zhengrong Li; Zhongrui Yuan

doi:10.1117/12.3021509

19 February 2024 A study on the method of recognizing star maps in the all-sky region

Wenzhe Wang, Caidong Zhan, Zhengrong Li, Zhongrui Yuan

Proceedings Volume 13063, Fourth International Conference on Computer Vision and Data Mining (ICCVDM 2023); 130630Z (2024) https://doi.org/10.1117/12.3021509
Event: Fourth International Conference on Computer Vision and Data Mining (ICCVDM 2023), 2023, Changchun, China

Abstract

In order to improve the chart recognition speed and the recognition success rate of the large field-of-view high-sensitivity star sensitizer, an improved artificial bee colony algorithm combined with the three anti-perturbation parameters is proposed as a chart recognition method. The method is based on the improved artificial bee colony algorithm to find the optimal paths for all the stars in the main star feature region; then, the optimal path length is used to find addresses in the navigation feature library, and the interstellar angular distances of the first three navigation stars in the optimal paths, d12/d23 , are taken as the main recognition features for matching and identification; finally, the three perturbation parameters are taken as the auxiliary recognition features to reduce the redundancy of the matching and to serve as a validation of the recognition.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wenzhe Wang, Caidong Zhan, Zhengrong Li, and Zhongrui Yuan "A study on the method of recognizing star maps in the all-sky region", Proc. SPIE 13063, Fourth International Conference on Computer Vision and Data Mining (ICCVDM 2023), 130630Z (19 February 2024); https://doi.org/10.1117/12.3021509

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