Paper
12 March 2020 An adaptive window motion blurred star restoration based on energy equalization
Author Affiliations +
Abstract
The accuracy of star centroid extraction and identified star number is both crucial features for star sensor precision. Motion blur and fracture are introduced when star sensor works under high dynamic conditions, which affect the accuracy of star centroid extraction and further reduce the precision of the star sensor. To improve the precision of star sensor, this paper proposes an adaptive window star map restoration method based on energy equalization. The local degradation function is estimated for the star point energy distribution region, and dynamic star map simulation and restoration are performed. The simulation process is divided into three steps. Firstly, establish the motion trajectory of the star point centroid in the detector plane during the exposure time, according to the trailing trajectory size and direction adaptive selection window. Secondly, accumulate the star image point energy in the adaptive window to achieve star point recovery, and finally the recovery effect was evaluated by star extraction results.
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Fengqi Jiang, Xin Song, and Zhenguo Yan "An adaptive window motion blurred star restoration based on energy equalization", Proc. SPIE 11438, 2019 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 114380H (12 March 2020); https://doi.org/10.1117/12.2543281
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KEYWORDS
Stars

Star sensors

Motion models

Sensors

Image restoration

Imaging systems

Gyroscopes

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