Acta Optica Sinica, Volume. 40, Issue 19, 1928001(2020)

Unmanned Aerial Vehicle Glint Image Restoration Algorithm Based on Discrete Cosine Transform

Lan Li1,2,3, Cailan Gong1,2、*, Huawen Huang4, Yong Hu1,2, Xinhui Wang1,2,3, Zhijie He1,2,3, and Zhanglin Ye4
Author Affiliations
  • 1Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
  • 2Key Laboratory of Infrared System Detection and Imaging Technology, Chinese Academy of Sciences, Shanghai 200083, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
  • 4Shanghai Ubiquitous Navigation Technology Co., Ltd., Shanghai 201799, China
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    Figures & Tables(8)
    Glint extraction flowchart
    Flow chart of recovery of glint
    Detection results of glint. (a) Original image; (b) water area image; (c) glint detection result
    Relationship between c and k
    Recovery results for different k values. (a) Original image; (b) k=5; (c) k=20; (d) k=50
    Reflectance comparison curve after reflectivity of different algorithms
    • Table 1. Parameters of remote sensing sensor

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      Table 1. Parameters of remote sensing sensor

      Parameter typeSpecific value
      Number of channels5
      Band setting /nm490,550,615,680,740
      Spatial resolution /m0.17
      Spectral resolution /nm20
      Flying height /m400
    • Table 2. SSIM after recovery with different algorithms

      View table

      Table 2. SSIM after recovery with different algorithms

      Band /nm490550615685740
      Hochberg0.33280.35120.37560.38450.1912
      Goodman0.42580.49870.56540.51210.4554
      DCT0.65460.68830.68130.68840.7112
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    Lan Li, Cailan Gong, Huawen Huang, Yong Hu, Xinhui Wang, Zhijie He, Zhanglin Ye. Unmanned Aerial Vehicle Glint Image Restoration Algorithm Based on Discrete Cosine Transform[J]. Acta Optica Sinica, 2020, 40(19): 1928001

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: May. 6, 2020

    Accepted: Jun. 19, 2020

    Published Online: Sep. 29, 2020

    The Author Email: Gong Cailan (llan@mail.ustc.edu.cn)

    DOI:10.3788/AOS202040.1928001

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