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一种卫星平台振动光谱成像数据分块校正方法

南一冰 唐义 张丽君 常月娥 陈廷爱

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一种卫星平台振动光谱成像数据分块校正方法

南一冰, 唐义, 张丽君, 常月娥, 陈廷爱

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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  • 卫星平台的振动会降低光谱成像数据的质量. 以星载色散型成像光谱仪为例,介绍了其运动成像的退化机理. 针对传统二维反卷积算法存在的问题以及推扫机理的特殊性,提出了一种光谱成像数据分块校正方法. 该方法将分块处理、升维运算以及灰度渐变拼接相结合,将基于自然景物统计规律的图像去模糊算法运用于降质成像光谱数据的校正中. 分别进行了不同目标的光谱成像退化校正仿真实验,实验结果表明,光谱成像数据质量在空间维和光谱维都有了明显提高,校正效果优于传统二维反卷积算法.
    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.
    • 基金项目: 国家重点基础研究发展计划(973计划)(批准号:2013CB329202,2009CB724005)资助的课题.
    • 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]

计量
  • 文章访问数:  1820
  • PDF下载量:  397
  • 被引次数: 0
出版历程
  • 收稿日期:  2013-06-24
  • 修回日期:  2013-09-11
  • 刊出日期:  2014-01-05

一种卫星平台振动光谱成像数据分块校正方法

  • 1. 北京理工大学光电学院, 光电成像技术与系统教育部重点实验室, 北京 100081
    基金项目: 

    国家重点基础研究发展计划(973计划)(批准号:2013CB329202,2009CB724005)资助的课题.

摘要: 卫星平台的振动会降低光谱成像数据的质量. 以星载色散型成像光谱仪为例,介绍了其运动成像的退化机理. 针对传统二维反卷积算法存在的问题以及推扫机理的特殊性,提出了一种光谱成像数据分块校正方法. 该方法将分块处理、升维运算以及灰度渐变拼接相结合,将基于自然景物统计规律的图像去模糊算法运用于降质成像光谱数据的校正中. 分别进行了不同目标的光谱成像退化校正仿真实验,实验结果表明,光谱成像数据质量在空间维和光谱维都有了明显提高,校正效果优于传统二维反卷积算法.

English Abstract

参考文献 (13)

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