Volume 12 Issue 3
Jun.  2019
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Article Contents
QIAO Kai, HUANG Shi-sheng, ZHI Xi-yang, SUN Suan, ZHAO Ming. On-orbit dynamic scene real-time matching method and experiment of optical satellite[J]. Chinese Optics, 2019, 12(3): 575-586. doi: 10.3788/CO.20191203.0575
Citation: QIAO Kai, HUANG Shi-sheng, ZHI Xi-yang, SUN Suan, ZHAO Ming. On-orbit dynamic scene real-time matching method and experiment of optical satellite[J]. Chinese Optics, 2019, 12(3): 575-586. doi: 10.3788/CO.20191203.0575

On-orbit dynamic scene real-time matching method and experiment of optical satellite

doi: 10.3788/CO.20191203.0575
Funds:

National Natural Science Foundation of China 61605035

More Information
  • Corresponding author: QIAO Kai, E-mail:qk_lucky@sohu.com
  • Received Date: 24 Dec 2018
  • Rev Recd Date: 18 Jan 2019
  • Publish Date: 01 Jun 2019
  • On the basis of on-orbit dynamic scene real-time matching of optical satellite, a new method is proposed to solve some key problems in satellite imaging, including the narrow dynamic range, the coarctate gray scale distribution, the deficiency of gray level, and the lack of detail resolution in dark scenes. Firstly, the cloud detection and atmospheric radiation prediction methods are presented based on histogram characteristic, in order to diminish their influence to high and low dynamic metrics of scenes. Combined with the radiation relationship calibration between photometric camera and imaging camera and image motion compensate, the real-time measurement of the dynamic range of the scene is achieved by imaging twice(not more than) using the photometric camera. Then, aiming at the problem that the scene dynamic range usually exceed the camera dynamic range, a matching method between the camera and scene dynamic range is proposed based on the high-and-low luminance matching schemes. Meanwhile, the camera parameters' calculation method in different situations is presented. Finally, the proposed matching method is verified by experiments of unmanned aerial vehicle(UAV). The results indicate that the method can achieve the best matching dynamic range by setting suitable integrating numbers and gains of the camera according to the actual imaging dynamic scenes, which can improve the effective gray scale and the image entropy by 100% and 40%, respectively.

     

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