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Proceedings Paper

Autonomous celestial navigation based on Earth ultraviolet radiance and fast gradient statistic feature extraction
Author(s): Shan Lu; Hanmo Zhang
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Paper Abstract

To meet the requirement of autonomous orbit determination, this paper proposes a fast curve fitting method based on earth ultraviolet features to obtain accurate earth vector direction, in order to achieve the high precision autonomous navigation. Firstly, combining the stable characters of earth ultraviolet radiance and the use of transmission model software of atmospheric radiation, the paper simulates earth ultraviolet radiation model on different time and chooses the proper observation band. Then the fast improved edge extracting method combined Sobel operator and local binary pattern (LBP) is utilized, which can both eliminate noises efficiently and extract earth ultraviolet limb features accurately. And earth’s centroid locations on simulated images are estimated via the least square fitting method using part of the limb edges. Taken advantage of the estimated earth vector direction and earth distance, Extended Kalman Filter (EKF) is applied to realize the autonomous navigation finally. Experiment results indicate the proposed method can achieve a sub-pixel earth centroid location estimation and extremely enhance autonomous celestial navigation precision.

Paper Details

Date Published: 26 January 2016
PDF: 8 pages
Proc. SPIE 9796, Selected Papers of the Photoelectronic Technology Committee Conferences held November 2015, 97961R (26 January 2016); doi: 10.1117/12.2228944
Show Author Affiliations
Shan Lu, Shanghai Aerospace Control Technology Institute (China)
Shanghai Key Lab. of Aerospace Intelligent Control Technology (China)
Hanmo Zhang, Shanghai Aerospace Control Technology Institute (China)
Shanghai Key Lab. of Aerospace Intelligent Control Technology (China)


Published in SPIE Proceedings Vol. 9796:
Selected Papers of the Photoelectronic Technology Committee Conferences held November 2015
Weimin Bao; Yueguang Lv, Editor(s)

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