Acta Optica Sinica, Volume. 38, Issue 1, 0128002(2018)

Acquisition Method of Zero Stadia Standard Image for Satellite Imaging Simulation

Lanxia Wang1,2, Wenyu Cui1, Weining Yi1、*, Honglian Huang1, and Chuan Chen1,2
Author Affiliations
  • 1 Key Laboratory of Optical Calibration and Characterization of Chinese Academy of Sciences, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, Anhui 230031, China
  • 2 University of Science and Technology of China, Hefei, Anhui 230026, China
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    Full link simulation of high resolution satellite imaging is the main means to evaluate the effect of satellite pre-launch. The zero stadia standard image is the necessary standard to verify the accuracy of the basics on imaging simulation link. When the ground equipment acquires zero stadia image, it is difficult to obtain zero stadia standard image directly by vertical observation to earth because of the problems such as the inconformity of the observation angle and the satellite, the heavy workload and difficulty of qualification. Through the establishment of ground zero stadia standard measurement system, vertical image with wide width is obtained by rail line shooting, geometric correction and image mosaic. Then, the zero stadia reflectance image is obtained by quantifying the synchrotron radiation correction method. Finally, on the observation platform 2.6 m away from the ground, the zero stadia standard image (reflectivity image) with the area of 10 m×10 m and the resolution of sub-meter level is obtained. Compared with the reflectance of the ground testing, the results show that the error of the zero stadia standard image (reflectivity image) is less than 5%, which can provide a standard for the accuracy verification of basic link of sub-meter high resolution satellite imaging simulation link.

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    Lanxia Wang, Wenyu Cui, Weining Yi, Honglian Huang, Chuan Chen. Acquisition Method of Zero Stadia Standard Image for Satellite Imaging Simulation[J]. Acta Optica Sinica, 2018, 38(1): 0128002

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jul. 17, 2017

    Accepted: --

    Published Online: Aug. 31, 2018

    The Author Email: Yi Weining (yiwn@aiofm.ac.cn)

    DOI:10.3788/AOS201838.0128002

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