航空学报 > 2018, Vol. 39 Issue (S1): 722230-722230   doi: 10.7527/S1000-6893.2018.22230

微振动影响下的TDICCD相机图像复原方法

刘静宇1, 崔玉福1, 许萌2, 何红艳3, 尹欢1, 王钰3   

  1. 1. 航天东方红卫星有限公司, 北京 100094;
    2. 中国空间技术研究院, 北京 100094;
    3. 北京空间机电研究所, 北京 100094
  • 收稿日期:2018-03-22 修回日期:2018-05-02 出版日期:2018-12-30 发布日期:2018-05-02
  • 通讯作者: 刘静宇 E-mail:liujingyubetter@163.com

Image restoration method for TDICCD camera with micro vibration

LIU Jingyu1, CUI Yufu1, XU Meng2, HE Hongyan3, YIN Huan1, WANG Yu3   

  1. 1. DFH Satellite Company Limited, Beijing 100094, China;
    2. China Academy of Space Technology, Beijing 100094, China;
    3. Beijing Institute of Space Mechanics and Electricity, Beijing 100094, China
  • Received:2018-03-22 Revised:2018-05-02 Online:2018-12-30 Published:2018-05-02

摘要: 随着遥感卫星成像分辨率的不断提高,微振动对空间相机成像质量的影响已不能忽视。本文主要针对微振动影响下的时间延迟积分电荷耦合器件(TDICCD)图像的复原方法进行了研究。首先,结合成像器件与目标存在相对运动时的曝光成像规律和TDICCD相机成像原理,建立了微振动下TDICCD相机的成像模型,并进行了仿真得到退化图像。然后,对面阵图像复原方法进行了介绍。最后,将面阵复原方法改进推广至TDICCD图像复原,提出了一种微振动影响下的TDICCD相机图像复原方法,并进行了仿真。恢复图像各指标均有一定提升,验证了方法的有效性。

关键词: 微振动, 遥感卫星, 高分辨率, TDICCD图像复原, 面阵

Abstract: With the steady improvement of remote sensing satellite imaging resolution, the effect of micro vibration on imaging quality of the space camera cannot be ignored. In this paper, a restoration method for imaging of Time Delayed and Integration Charge-Coupled Device (TDICCD) with micro vibration is studied. Firstly, we analyze the exposure rule and imaging principle of the TDICCD camera when the imaging device is moving relative to the target. A model for imaging of the TDICCD camera with micro vibration is established. The degraded image is obtained via simulation. Then the array image restoration method is introduced. Finally, the array image restoration method is improved and applied to TDICCD image restoration. A restoration method for TDICCD camera image with micro vibration is developed. Simulation shows improvement of all the indexes of the restored image, demonstrating the effectiveness of the proposed method.

Key words: micro vibration, remote sensing, high resolution, TDICCD image restoration, plane

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