Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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Implementation of an Automatic Observation System for Cloud Observations

  • Received : 2016.01.14
  • Accepted : 2016.01.29
  • Published : 2016.02.29
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Abstract

In this paper, we propose an efficient automatic observation system for cloud amount and height observations. Observation system consists of clouds observations machinery, operational programs, cloud amount extraction program, cloud height extraction program, expert support programs. The experiment was conducted at the Daegwallyeong and Busan, through experimental observation confirmed the usefulness of the proposed system.

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References

  1. Yun Mi Kim, Jhoon Kim and Hi Ku Cho, "Development of Objective Algorithm for Cloudiness using All-Sky Digital Camera", Atmosphere vol 18, no.1, pp.1-14, March 2008
  2. Bu-Yo Kim, Joon-Bum Jee, Myeong-Jae Jeong, Il-Sung Zo, and Kyu-Tae Lee,"Estimation of Total Cloud Amount from Skyviewer Image Data", J. Korean Earth Sci. Soc., vol.36, no.4, pp.330−340, August 2015
  3. Min Hyeok Choe, Mun Su Park, "Urban Atmospheric Boundary Layer Height Determination and Analysis by Aerosol Lidar and Ceilometer". Proceedings of the 57th KOSAE, pp.95-95. 2014
  4. Sutter, Marcel, Bruno Durr, and Rolf Philipona. "Comparison of two radiation algorithms for surfacebased cloud‐free sky detection." Journal of Geophysical Research: Atmospheres (1984-2012) vol.109, pp. D17202.1-D17202.7, 2004
  5. Ik-Hyun Lee, Doo-Chun Choi, Tae-Sun Choi, "Improvement of Registration Accuracy for Satellite Image using Segmentation of Cloud Area and Elimination of Outlier", Proceedings of IEIE pp.517-520, 2011
  6. Jung Jang Kwon etc, "Study on automatic sky observation system development", Proceedings of Autumn Meeting of KMS, pp. 412-413, Oct. 2009.
  7. Earl Gose etc, "Pattern Recognition and Image", Prentice Hall Pub, pp.213-214, 1997
  8. S. Haykin, "Nerual networks a comprehensive foundation", Prentice Hall Pub, pp.413-499, 1999
  9. L. Vincent and P. Soille, "Watershed in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 13, no. 6, pp. 583-598, June 1991 https://doi.org/10.1109/34.87344
  10. Lee Kang-San, Jeon Joo-Il, Kang Hyun-Soo, "Camera Parameter Extraction For Long Distance Estimation Using Omnidirectional Camera", Proceedings of the Korean Society of Broadcast Engineers Conference, pp.227-230, Nov. 2009
  11. B.Micusik, T.Pajdla., "Paracatadioptric Camera Auto-calibration from Epipolar Geometry". ACCV vol.2, pp.748-753, Jan. 2004
  12. J. Kumler and M. Bauer., "Fisheye lens designs and their relative performance" International Symposium on Optical Science and Technology. International Society for Optics and Photonics, pp. 360-369, Oct. 2000
  13. B.Micusik, D.Martinec, and T.Pajdla. "3D Metric Reconstruction from Uncalibrated Omnidirectional Images". ACCV'04, pp.545-550, Jan. 2004
  14. Hyun-Sook Rhee, "An Intelligent Agent System using Multi-View Information Fusion" Journal of The Korea Society of Computer and Information Vol. 19, No. 12, pp.11-19, December 2014 https://doi.org/10.9708/jksci.2014.19.12.011
  15. Ho Seok Moon, Myung Ho Sohn,"Developing Expert System for Recovering the Original Form of Ancient Relics Based on Computer Graphics and Image Processing"Journal of The Korea Society of Computer and Information Vol. 11, No. 6, pp.269-277, December 2006