Adaptive star extraction algorithm in high dynamic

Xuwei Zhang; Xiaomin Zhan; Shuodong Sun; Yuan Gao; Chang Han

doi:10.1117/12.2690518

17 August 2023 Adaptive star extraction algorithm in high dynamic

Xuwei Zhang, Xiaomin Zhan, Shuodong Sun, Yuan Gao, Chang Han

Proceedings Volume 12757, 3rd International Conference on Laser, Optics, and Optoelectronic Technology (LOPET 2023); 1275734 (2023) https://doi.org/10.1117/12.2690518
Event: 3rd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2023), 2023, Kunming, China

Abstract

At high angular velocity, the signal-to-noise ratio(SNR) of star image may become very low due to star point tailing, which leads to the decline of the star extraction rate. To solve this problem, an adaptive star extraction algorithm is proposed in this paper. Firstly, the star image is divided into several blocks, and the adaptive global threshold method is used in each block to get the gray extremum of each block. Then, the weight matrix of the star under the current angular velocity is obtained adaptively by Kalman filter. For the selected extreme pixel, the background threshold of the pixel is obtained by using the maximum background estimation method according to the calculated weight matrix. Finally, region growth is carried out in the eight neighborhood of the current pixel until all the star pixels are extracted. The experimental results show that this algorithm can extract stars in images taken at high angular velocity, and the extraction rate is higher than that of the traditional scanning method, which proves the algorithm is effective and has good robustness.

Citation Download Citation

Xuwei Zhang, Xiaomin Zhan, Shuodong Sun, Yuan Gao, and Chang Han "Adaptive star extraction algorithm in high dynamic", Proc. SPIE 12757, 3rd International Conference on Laser, Optics, and Optoelectronic Technology (LOPET 2023), 1275734 (17 August 2023); https://doi.org/10.1117/12.2690518

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KEYWORDS

Stars

Angular velocity

Matrices

Star sensors

Image processing

Background noise

Image sensors

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