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星载相机轨道末期成像模型及图像复原算法

贺小军,金光,杨秀彬,王金玲   

  1. 中国科学院长春光学精密机械与物理研究所
  • 收稿日期:2009-07-03 修回日期:2010-03-25 出版日期:2010-12-22 发布日期:2010-12-22
  • 通讯作者: 贺小军

Imaging Model and Image Recovering Algorithms of Spaceborne Camera

  1. 1.
    2. Changchun Institute of Optics, fine Mechanics and Physics, Chinese Academy of Sciences
  • Received:2009-07-03 Revised:2010-03-25 Online:2010-12-22 Published:2010-12-22

摘要: 通过对光学卫星轨道末期成像面临的像移失配的研究,从能量的观点出发建立了TDI CCD (时间延迟积分电荷耦合器件)推扫成像通用模型(GMPI),基于该模型提出了一种像移失配工况下的非常规遥感成像方式,引入了信号滤波器的表示方法,将GMPI模型简化成为易于计算的TDI CCD推扫成像滤波器模型(FMPI),对轨道末期遥感图像混叠效应进行了定量分析,并给出了基于成像机理及成像参数的图像恢复处理方法。通过实际成像实验获取了像移速度失配下的图像并通过图像恢复算法进行处理,得到了比半盲式复原算法更好的图像恢复效果。

Abstract: A Generic Model of Time-Delay and Integration Charge-Coupled Device (TDI CCD) Push-broom Imaging (GMPI) based on energy was established, through researching the Image Motion Mismatch (IMM) of the space camera in the end of orbit life. For the image motion mismatch being inevitable in the end of orbit life, an Unconventional Way of Remote Sensing Imaging (UWRSI) was proposed based on GMPI, in order to Simplify the calculation, the GMPI was Simplified to a Filter Model of TDI CCD Push-broom Imaging (FMPI), using the Filter Model, the Image-Aliasing Effect (IAE) of the space camera in end of orbit life was Quantitative Analysis easily, and the algorithm and its parameters of image recovering was given out based on imaging parameters. The Original image with IMM were obtained from imaging system with IMM, which was tried to recover to the virtue images using the image recover algorithm, the result showed that the image recover algorithm was effective.