Volume 43 Issue S1
Jan.  2015
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Tao Shuping. Drift angle adjusting method for CMOS cameras based on TDI in digital domain[J]. Infrared and Laser Engineering, 2014, 43(S1): 214-218.
Citation: Tao Shuping. Drift angle adjusting method for CMOS cameras based on TDI in digital domain[J]. Infrared and Laser Engineering, 2014, 43(S1): 214-218.

Drift angle adjusting method for CMOS cameras based on TDI in digital domain

  • Received Date: 2014-10-10
  • Rev Recd Date: 2014-11-15
  • Publish Date: 2015-01-25
  • To resolve the problem that brought by the complex drift angle adjusting structure in the current image motion compensation method, a new drift angle adjusting method based on image was proposed in this paper, which was suitable for the CMOS remote sensing cameras based on TDI in digital domain. The method was based on digital images, and accumulates the matching image pixel in digital domain to adjusts the image motion mismatch caused by the drift angle. Finally, in order to verify the effectiveness of the proposed algorithm, the imaging experiment was conducted. And the results show that when the drift angle is 26.56 degrees, the of the image gotten directly before using the proposed algorithm is 0.132 8, while the contrast transfer function is increased to 0.444 7 after using the proposed method. So it proves that the drift angle adjusting method based on image can improve imaging results significantly and is feasible and effective. The proposed method gets rid of the limit of the idea of adjusting the drift angle by mechanical structure, and it is of high precision but simple, without the need for any additional hardware expenses, which is helpful to improve the current image motion compensation system.
  • [1] Qu Hongsong, Zhang Ye, Jin Guang. Improvement of performance for CMOS area image sensors by TDI algorithm in digital domain[J]. Optics and Precision Engineering, 2010, 18(8): 1896-1903. (in Chinese) 曲宏松, 张叶, 金光. 基于数字域TDI算法改进面阵CMOS图像传感器功能[J]. 光学 精密工程, 2010, 18(8): 1896-1903.
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    [4] Tao Shuping, Jin Guang, Qu Hongsong, et al. Design and analysis of CMOS camera based on time delay and integration in digital domain to realize spatial high-resolution imaging[J]. Acta Optica Sinica, 2012, 32(4): 0411001-1-9. (in Chinese) 陶淑苹, 金光, 曲宏松, 等. 实现空间高分辨成像的数字域时间延迟积分CMOS相机设计及分析[J]. 光学学报, 2012, 32(4): 0411001-1-9.
    [5] Emst Bodenstorfer, Johannes Furtler, Jorg Brodersen, et al. High-speed line-scan camera with digital time delay integration[C] // Proceeding of SPIE-IST Electronic Imaging, 2007,6496: 1-10.E
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    [9] Li Weixiong. Research on method of image motion compensation of space high resolution camera's collecting sense agilely[D]. Beijing: Chinese Academy of Since, 2011: 6-8. (in Chinese) 李伟雄. 高分辨率空间相机敏捷成像的像移补偿方法研究[D]. 北京: 中国科学院研究生院, 2011: 6-8.
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    [13] Wang Jiaqi, Yu Ping, Yan Changxiang, et al. [J]. Acta Optica Sinica, 2004, 24(12): 1585-1589. 王家骐, 于平, 颜昌翔, 等. 航天光学遥感器像移速度矢计算数学模型[J]. 光学学报, 2004, 24(12): 1585-1589.
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    [16] Yang Xiubin, He Xiaojun, Zhang Liu, et al. Effect and simulation of the deviant angle error on TDI CCD cameras image[J]. Opto-Electronic Engineering, 2008, 35(11): 45-56. (in Chinese) 杨秀彬, 贺小军, 张刘, 等. 偏流角误差对TDI CCD 相机成像的影响与仿真[J]. 光电工程, 2008, 35(11): 45-56.
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Drift angle adjusting method for CMOS cameras based on TDI in digital domain

  • 1. National & Local United Engineering Research Center of Small Satellite Technology,Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,China

Abstract: To resolve the problem that brought by the complex drift angle adjusting structure in the current image motion compensation method, a new drift angle adjusting method based on image was proposed in this paper, which was suitable for the CMOS remote sensing cameras based on TDI in digital domain. The method was based on digital images, and accumulates the matching image pixel in digital domain to adjusts the image motion mismatch caused by the drift angle. Finally, in order to verify the effectiveness of the proposed algorithm, the imaging experiment was conducted. And the results show that when the drift angle is 26.56 degrees, the of the image gotten directly before using the proposed algorithm is 0.132 8, while the contrast transfer function is increased to 0.444 7 after using the proposed method. So it proves that the drift angle adjusting method based on image can improve imaging results significantly and is feasible and effective. The proposed method gets rid of the limit of the idea of adjusting the drift angle by mechanical structure, and it is of high precision but simple, without the need for any additional hardware expenses, which is helpful to improve the current image motion compensation system.

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