Sensors 2012, 12(5), 6712-6726; doi:10.3390/s120506712

Blurred Star Image Processing for Star Sensors under Dynamic Conditions

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Received: 2 April 2012; in revised form: 23 April 2012 / Accepted: 27 April 2012 / Published: 22 May 2012
(This article belongs to the Section Physical Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: The precision of star point location is significant to identify the star map and to acquire the aircraft attitude for star sensors. Under dynamic conditions, star images are not only corrupted by various noises, but also blurred due to the angular rate of the star sensor. According to different angular rates under dynamic conditions, a novel method is proposed in this article, which includes a denoising method based on adaptive wavelet threshold and a restoration method based on the large angular rate. The adaptive threshold is adopted for denoising the star image when the angular rate is in the dynamic range. Then, the mathematical model of motion blur is deduced so as to restore the blurred star map due to large angular rate. Simulation results validate the effectiveness of the proposed method, which is suitable for blurred star image processing and practical for attitude determination of satellites under dynamic conditions.
Keywords: image denoising; image restoration; star sensor; dynamic conditions
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MDPI and ACS Style

Zhang, W.; Quan, W.; Guo, L. Blurred Star Image Processing for Star Sensors under Dynamic Conditions. Sensors 2012, 12, 6712-6726.

AMA Style

Zhang W, Quan W, Guo L. Blurred Star Image Processing for Star Sensors under Dynamic Conditions. Sensors. 2012; 12(5):6712-6726.

Chicago/Turabian Style

Zhang, Weina; Quan, Wei; Guo, Lei. 2012. "Blurred Star Image Processing for Star Sensors under Dynamic Conditions." Sensors 12, no. 5: 6712-6726.

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