Infrared and Laser Engineering, Volume. 45, Issue 3, 326002(2016)

Registration model based on homologous points tracking of space camera assembly imaging

Wu Yinan*, Li Guoning, Zhang Ke, Zhang Yu, and Jin Longxu
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  • [in Chinese]
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    The defect of the existing imaging registration algorithms which are applied in remote sensing image assembling and registration was analyzed. According to the imaging characteristic of interleaving assembly for space camera, a registration model based on homologous points tracking for assembly imaging was proposed. The collinearity equation of perspective projection under assistant space coordinate was established. Then, the strict mathematical realationship of image point, camera imaging center and ground point was established. The locus of homologous points at image plane could be tracked accurately. Combined with the restrict of TDICCD on image plane, the number of pixels in direction of longitudinal and transverse displacement of pair of homologous points was calculated. Finally, according to the analysis based on image bands camera imaging on the track and satellite assistant datas, multiple of image points were selected to be registrated. The error of homologous points registration was less than 1 pixel. The feasibility of registration algorithms was proved. Compared with traditional registration algorithms for remote sensing image, this method is a strict registration with meaning of geometry, and there is no need to know the content of image. The method applied to the checking and calculating on correlative camera, has better adaptability and predictability. The model is easy to be applied to the imaging registration and assembling for others kinds of space camera.

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    Wu Yinan, Li Guoning, Zhang Ke, Zhang Yu, Jin Longxu. Registration model based on homologous points tracking of space camera assembly imaging[J]. Infrared and Laser Engineering, 2016, 45(3): 326002

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    Paper Information

    Category: 信息获取与辨识

    Received: Jul. 11, 2015

    Accepted: Aug. 12, 2015

    Published Online: Apr. 5, 2016

    The Author Email: Yinan Wu (wyn_buaa@163.com)

    DOI:10.3788/irla201645.0326002

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