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Blurred Star Image Processing for Star Sensors under Dynamic Conditions
Science and Technology on Inertial Laboratory, Key Laboratory of Fundamental Science for National Defense-Novel Inertial Instrument & Navigation System Technology, Beijing 100191, China
* Author to whom correspondence should be addressed.
Received: 2 April 2012; in revised form: 23 April 2012 / Accepted: 27 April 2012 / Published: 22 May 2012
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.
Zhang W, Quan W, Guo L. Blurred Star Image Processing for Star Sensors under Dynamic Conditions. Sensors. 2012; 12(5):6712-6726.
Zhang, Weina; Quan, Wei; Guo, Lei. 2012. "Blurred Star Image Processing for Star Sensors under Dynamic Conditions." Sensors 12, no. 5: 6712-6726.