A strong background daytime star image processing method using improved morphology Top-Hat filter and pipeline filter

Qing Xu; Chunhui Zhao; Xiao Li

doi:10.1117/12.2589443

27 January 2021 A strong background daytime star image processing method using improved morphology Top-Hat filter and pipeline filter

Qing Xu, Chunhui Zhao, Xiao Li

Author Affiliations +

Proceedings Volume 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020); 117201R (2021) https://doi.org/10.1117/12.2589443
Event: Twelfth International Conference on Graphics and Image Processing, 2020, Xi'an, China

Abstract

A daytime star sensor is a high precision attitude measurement instrument with the ability of detecting stars in the atmosphere during daytime. Different from star sensor applied in space, the performance of daytime star sensor is greatly affected by the strong sky background radiation. The complex and low signal to noise ratio daytime star image increases the difficulties of star recognition. This paper proposes a novel star extraction method for daytime star sensor, mainly focusing on star image preprocessing and fake star removal algorithm. Firstly, an improved morphology Top-Hat filter is provided to suppress the image noise. Then, the detailed process of star extraction is discussed and a pipeline filter is used to reject fake stars. Finally, multi-frame star vectors are calculated and averaged to improve the accuracy. An experiment with daytime star images captured by a self-developed airborne star sensor are analyzed to confirm the validity of the proposed approach, stars can be identified even if there are thin clouds in the sky.

Citation Download Citation

Qing Xu, Chunhui Zhao, and Xiao Li "A strong background daytime star image processing method using improved morphology Top-Hat filter and pipeline filter", Proc. SPIE 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020), 117201R (27 January 2021); https://doi.org/10.1117/12.2589443

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