• Journal of Atmospheric and Environmental Optics
  • Vol. 16, Issue 5, 404 (2021)
Benge WANG1、*, Ming YANG1, Xinfeng LING2, and Jialing WU3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3969/j.issn.1673-6141.2021.05.004 Cite this Article
    WANG Benge, YANG Ming, LING Xinfeng, WU Jialing. Application of All-Sky Infrared Cloud Observation in Aviation Meteorology[J]. Journal of Atmospheric and Environmental Optics, 2021, 16(5): 404 Copy Citation Text show less
    References

    [2] Meng Shu, Zheng Liying, Yang Mei, et al. Auxiliary methods for cloud observation at night [J]. Meteorological Science and Technology, 2010, 38(5): 655-658.

    [5] Lu Naimeng, Fang Xiang, Liu Jian, et al. Understanding clouds by meteorological satellite [J]. Meteorological Monthly, 2017, 43(3): 257-267.

    [6] Long C N, Slater D W, Tooman T. Total sky imager model 880 status and testing results [R]. Office of Scientific and Technical Information (OSTI), 2001.

    [7] Fa T, Xie W, Wang Y, et al. Development of an all-sky imaging system for cloud cover assessment [J]. Applied Optics, 2019, 58(20): 5516-5524.

    [8] Genkova I, Long C, Besnard T, et al. Assessing cloud spatial and vertical distribution with cloud infrared radiometer CIR-7 [C]. Proceedings SPIE 5571, Remote Sensing of Clouds and the Atmosphere IX, Maspalomas, Canary Islands, Spain, 2004, 5571: 1-10.

    [9] Feister U, Shields J. Cloud and radiance measurements with the VIS/NIR daylight whole sky imager at Lindenberg (Germany) [J]. Meteorologische Zeitschrift, 2005, 14(5): 627-639.

    [10] Gao Taichang, Liu Lei, Zhao Shijun, et al. The actuality and progress of whole sky cloud sounding techniques [J]. Journal of Applied Meteorological Science, 2010, 21(1): 101-109.

    [12] Linfoot A, Alliss R J. A cloud detection algorithm applied to a whole sky imager instrument using neural networks [C]. th Conference on Probability and Statistics Sixth Conference on Artificial Intelligence Applications to Environmental Science, New Orleans, LA, 2008.

    [13] Shen Hongchao, Song Xiaoquan, Sun Zhaobin, et al. Data fusion analysis for active-passive cloud lidar measurement system [J]. Journal of Atmospheric and Environmental Optics, 2015, 10(1): 11-21.

    [14] Tao Fa, Hu Shuzhen, Zhang Xuefen. Data fusion for base ground visible/infrared whole sky imager [J]. Meteorological Monthly, 2018, 44(4): 518-525.

    [15] Xie W Y, Liu D, Yang M, et al. SegCloud: A novel cloud image segmentation model using a deep convolutional neural network for ground-based all-sky-view camera observation [J]. Atmospheric Measurement Techniques, 2020, 13(4): 1953-1961.

    [16] Han Wenyu, Liu Lei, Gao taichang, et al. Classification of whole sky infrared cloud image using compressive sensing [J]. Journal of Applied Meteorological Science, 2015, 26(2): 231-239.

    [17] Zhang Chi, Liu Jun, Li Xuguang, et al. A cloud classification method based on information fusion of visible and infrared images [J]. Journal of Meteorology and Environment, 2018, 34(1): 82-90.

    [18] Cui Shun, Xu Yunfei, Su Liyin, et al. Classification of all-sky camera data based on convolutional neural network [J]. Astronomical Research & Technology, 2019, 16(2): 225-235.

    [19] Guo Enming. Aviation Cloud Atlas [M]. Beijing: Science Press, 1989: 39-115.

    WANG Benge, YANG Ming, LING Xinfeng, WU Jialing. Application of All-Sky Infrared Cloud Observation in Aviation Meteorology[J]. Journal of Atmospheric and Environmental Optics, 2021, 16(5): 404
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