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Sectioned Restoration of Blurred Star Image with Space-Variant Point Spread

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Information Technology and Intelligent Transportation Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 455))

Abstract

In order to ensure the accuracy of star sensor in high dynamic conditions, the sectional processing scheme is proposed for space-variant motion blurs. The degradation of star image may be characterized by a space-variant point spread function (PSF), and the PSF of blurred star spot was formulated by its nonuniform velocity across the image plane. Then, the image is divided into several rectangular sections and each contains an interesting star spot. The center of section is the location of star predicted by the attitude measurement equation, and its size is determined by the velocity of star spot and exposure time. Further, the PSF in each section can be approximately space-invariant. The scheme is illustrated by performing attitude determination against a restored space-variant blurred star image.

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Acknowledgments

This paper is supported by National Natural Fund of China (NSFC) (No. 41471354).

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Correspondence to Kaimin Sun .

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Liu, T., Sun, K., Liu, C. (2017). Sectioned Restoration of Blurred Star Image with Space-Variant Point Spread. In: Balas, V., Jain, L., Zhao, X. (eds) Information Technology and Intelligent Transportation Systems. Advances in Intelligent Systems and Computing, vol 455. Springer, Cham. https://doi.org/10.1007/978-3-319-38771-0_17

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  • DOI: https://doi.org/10.1007/978-3-319-38771-0_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-38769-7

  • Online ISBN: 978-3-319-38771-0

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