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A sectioned method to correct spectral imaging data degraded by satellite vibrations

Nan Yi-Bing Tang Yi Zhang Li-Jun Chang Yue-E Chen Ting-Ai

A sectioned method to correct spectral imaging data degraded by satellite vibrations

Nan Yi-Bing, Tang Yi, Zhang Li-Jun, Chang Yue-E, Chen Ting-Ai
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  • The quality of spectral imaging data will be degraded by the vibrations of satellite platform. We study the methods to correct degraded spectral imaging data in this paper. First, the vibration patterns of satellites and the degradation mechanism of the motion imaging of dispersion imaging spectrometer are introduced. Considering the problems of traditional two-dimensional deconvolution algorithms, and the speciality of push-sweeping mechanism, a sectioned correction method is presented, in which are combined image dividing, dimension rising, and gradual splicing. And the motion deblurring algorithm based on natural image statistics is applied in the correction of degraded spectral imaging data. We implement degradation and correction experiments for various data. Results show that the qualities of spectral imaging data are significantly improved for both the spatials and spectrals. Our method is better than the traditional deconvolution algorithms.
    • Funds: Project supported by the National Basic Research Program of China (Grant Nos. 2013CB329202, 2009CB724005).
    [1]

    Hadar O, Fisher M, Kopeikan S 1992 Opt. Eng. 31 581

    [2]

    Tang Q Y, Tang Y, Cao W L, Wang J, Nan Y B, Ni G Q 2012 Acta Phys. Sin. 61 0700202 (in Chinese) [唐秋艳, 唐义, 曹玮亮, 王静, 南一冰, 倪国强 2012 物理学报 61 0700202]

    [3]

    Xiang L B, Liu G X, Gao Z, Xue M Q 1997 Acta Photonica Sinica 26 644 (in Chinese) [相里斌, 刘改侠, 高瞻, 薛鸣球 1997 光子学报 26 644]

    [4]

    Li X B, Chen D R, Yu C W, Lu J H, Yang J F 2004 Opto-Electronic Engineering 31 8 (in Chinese) [李湘滨, 谌德荣, 余成伟, 陆建华, 杨建峰 2004 光电工程 31 8]

    [5]

    Mahgoub A, Nguyen T, Desbiens R, Zaccarin A 2009 IEEE ICIP 573

    [6]

    Yang W, Chen J, Song-Xia Wen-Jing, Gong P, Chen C X 2008 Journal of Remote Sensing 12 454 (in Chinese) [杨伟, 陈晋, 松下文经, 宫鹏, 陈春晓 2008 遥感学报 12 454]

    [7]

    Shan Q, Jia J Y, ASEEM A 2008 ACM Transactions on Graphics 27

    [8]

    Fergus R, Singh B, Hertzmann A, Roweis S T, Freeman W T 2006 ACM Transactions on Graphics 25 787

    [9]

    Roth S, Black M J 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition San Diego, CA, USA, June 20-25, 2005 2 p860

    [10]

    Tao X P, Feng H J, Lei H, Li Q, Xu Z H 2009 ACTA OPTICA SINICA 29 648 (in Chinese) [陶小平, 冯华君, 雷华, 李奇, 徐之海 2009 光学学报 29 648]

    [11]

    Wittig M, Holtz L V, Tunbridge D E L, Vermeulen H C 1990 Proc. SPIE 1218 205

    [12]

    Cao M Y, Sun N L, Yu D Y 2003 Opto-Electronic Engineering 30 69 (in Chinese) [曹茂永, 孙农亮, 郁道银 2003 光电工程 30 69]

    [13]

    Zhang X B, Yuan Y, Jing J J, Sun C M, Wang Q 2011 Spectroscopy and Spectral Analysis 31 853 (in Chinese) [张修宝, 袁艳, 景娟娟, 孙成明, 王潜 2011 光谱学与光谱分析 31 853]

  • [1]

    Hadar O, Fisher M, Kopeikan S 1992 Opt. Eng. 31 581

    [2]

    Tang Q Y, Tang Y, Cao W L, Wang J, Nan Y B, Ni G Q 2012 Acta Phys. Sin. 61 0700202 (in Chinese) [唐秋艳, 唐义, 曹玮亮, 王静, 南一冰, 倪国强 2012 物理学报 61 0700202]

    [3]

    Xiang L B, Liu G X, Gao Z, Xue M Q 1997 Acta Photonica Sinica 26 644 (in Chinese) [相里斌, 刘改侠, 高瞻, 薛鸣球 1997 光子学报 26 644]

    [4]

    Li X B, Chen D R, Yu C W, Lu J H, Yang J F 2004 Opto-Electronic Engineering 31 8 (in Chinese) [李湘滨, 谌德荣, 余成伟, 陆建华, 杨建峰 2004 光电工程 31 8]

    [5]

    Mahgoub A, Nguyen T, Desbiens R, Zaccarin A 2009 IEEE ICIP 573

    [6]

    Yang W, Chen J, Song-Xia Wen-Jing, Gong P, Chen C X 2008 Journal of Remote Sensing 12 454 (in Chinese) [杨伟, 陈晋, 松下文经, 宫鹏, 陈春晓 2008 遥感学报 12 454]

    [7]

    Shan Q, Jia J Y, ASEEM A 2008 ACM Transactions on Graphics 27

    [8]

    Fergus R, Singh B, Hertzmann A, Roweis S T, Freeman W T 2006 ACM Transactions on Graphics 25 787

    [9]

    Roth S, Black M J 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition San Diego, CA, USA, June 20-25, 2005 2 p860

    [10]

    Tao X P, Feng H J, Lei H, Li Q, Xu Z H 2009 ACTA OPTICA SINICA 29 648 (in Chinese) [陶小平, 冯华君, 雷华, 李奇, 徐之海 2009 光学学报 29 648]

    [11]

    Wittig M, Holtz L V, Tunbridge D E L, Vermeulen H C 1990 Proc. SPIE 1218 205

    [12]

    Cao M Y, Sun N L, Yu D Y 2003 Opto-Electronic Engineering 30 69 (in Chinese) [曹茂永, 孙农亮, 郁道银 2003 光电工程 30 69]

    [13]

    Zhang X B, Yuan Y, Jing J J, Sun C M, Wang Q 2011 Spectroscopy and Spectral Analysis 31 853 (in Chinese) [张修宝, 袁艳, 景娟娟, 孙成明, 王潜 2011 光谱学与光谱分析 31 853]

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  • Received Date:  24 June 2013
  • Accepted Date:  11 September 2013
  • Published Online:  05 January 2014

A sectioned method to correct spectral imaging data degraded by satellite vibrations

  • 1. Key Laboratory of Photoelectronic Imaging Technology and System School of Photoelectricity, Beijing Institute of Technology, Beijing 100081, China
Fund Project:  Project supported by the National Basic Research Program of China (Grant Nos. 2013CB329202, 2009CB724005).

Abstract: The quality of spectral imaging data will be degraded by the vibrations of satellite platform. We study the methods to correct degraded spectral imaging data in this paper. First, the vibration patterns of satellites and the degradation mechanism of the motion imaging of dispersion imaging spectrometer are introduced. Considering the problems of traditional two-dimensional deconvolution algorithms, and the speciality of push-sweeping mechanism, a sectioned correction method is presented, in which are combined image dividing, dimension rising, and gradual splicing. And the motion deblurring algorithm based on natural image statistics is applied in the correction of degraded spectral imaging data. We implement degradation and correction experiments for various data. Results show that the qualities of spectral imaging data are significantly improved for both the spatials and spectrals. Our method is better than the traditional deconvolution algorithms.

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