Infrared and Laser Engineering, Volume. 47, Issue 11, 1117003(2018)

Testing method of distortion for space remote sensing camera with large field of view

Li Chongyang*, Dong Xin, Yue Liqing, Ma Lina, and Zhang Jiyou
Author Affiliations
  • [in Chinese]
  • show less

    The distortion of the space remote sensing camera was an important parameter, the test accuracy of which was directly related to the image processing precision after getting the image. For the space non-mapping remote sensing camera, the requirement for the distortion of the optical system was not as high as mapping remote sensing camera at the beginning of the design. So its distortion of the optical system was large in general. For this kind of remote sensing camera, especially those with large FOV, it′s necessary to test distortion of the camera accurately. This can provide more accurate initial condition for the calibration in-orbit. Based on the precision of angle measuring method, the mathematical model of space remote sensing camera in view of the large distortion was established in this paper, and a reasonable and feasible test idea was proposed for the large FOV and arc distortion of the camera. The high accuracy test to the distortion of the under test camera was completed, and the results were ideal. The practical test results show that the accurate of distortion is better than 1.8 μm(1σ). The test accuracy can meet the high requirements of test precision for under test camera. So this method has reference significance to the distortion test of the space non-mapping remote sensing camera.

    Tools

    Get Citation

    Copy Citation Text

    Li Chongyang, Dong Xin, Yue Liqing, Ma Lina, Zhang Jiyou. Testing method of distortion for space remote sensing camera with large field of view[J]. Infrared and Laser Engineering, 2018, 47(11): 1117003

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: 光电测量

    Received: Jun. 5, 2018

    Accepted: Jul. 3, 2018

    Published Online: Jan. 10, 2019

    The Author Email: Chongyang Li (jlulcy508@sina.com)

    DOI:10.3788/irla201847.1117003

    Topics