Accurate Star Centroid Detection for the Advanced Geosynchronous Radiation Imager of Fengyun-4A | Zendy

Haopeng Zhang | Zendy; Yi Su | Zendy; Jian Shang | Zendy; Lei Yang | Zendy; Bowen Cai | Zendy; Chengbao Liu | Zendy; Jing Wang | Zendy; Shengxiong Zhou | Zendy; Zhiqing Zhang | Zendy

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Accurate Star Centroid Detection for the Advanced Geosynchronous Radiation Imager of Fengyun-4A

Author(s) -

Haopeng Zhang,

Yi Su,

Jian Shang,

Lei Yang,

Bowen Cai,

Chengbao Liu,

Jing Wang,

Shengxiong Zhou,

Zhiqing Zhang

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2798625

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

Star observation can be used for the image navigation of certain instruments aboard the three-axis stabilized geostationary satellites. How to extract the accurate star centroids in the observed star images is one of the key problems. In this paper, a high precision star centroid detection method is proposed for the advanced geosynchronous radiation imager (AGRI) of Fengyun-4A (FY-4A), the first experimental satellite of the new generation of Chinese geostationary meteorological satellites FY-4 series. Different from star sensors which are deliberately defocused with relatively large star spot, AGRI is focused for the purpose of earth observation, making it challenging to extract accurate star centroids. To solve the problem, we take the advantage of continuous observing and improve the precision of star centroiding by trajectory fitting and energy response curve fitting. Extensive experiments have been performed on simulated star images and the actual observation data of AGRI aboard FY-4A over ten months in-orbit tests. Experimental results show that the proposed method can accurately extract star centroids with the error less than 0.3 pixels, laying a solid foundation for image navigation of FY-4A.

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