한국멀티미디어학회논문지 (Journal of Korea Multimedia Society)

  • 제20권12호
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  • Pages.1874-1889
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  • 2017
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  • 1229-7771(pISSN)
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  • 2384-0102(eISSN)
한국멀티미디어학회 (Korea Multimedia Society)
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강우의 불확실성에 관한 강우레이더 영상 품질관리 알고리즘

Quality Control Algorithm of Rainfall Radar Image for Uncertainty of Rainfall

  • Choi, Jeongho (Dept. of Mechatronics Engineering, Chosun College of Science & Technology) ;
  • Yoo, Chulsang (Dept. of Civil, Environmental and Architectural Engineering, Korea University) ;
  • Lim, Sanghun (Dept. of Hydro Science and Engineering Research Institute., Korea Institute) ;
  • Han, Myoungsun (Dept. of Hydro Science and Engineering Research Institute., Korea Institute) ;
  • Lee, Baekyu (Dept. of Mechatronics Engineering, Chosun College of Science & Technology)
  • 투고 : 2017.11.05
  • 심사 : 2017.11.16
  • 발행 : 2017.12.31
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초록

The paper aims to analyze structure of I/Q data observed from radar and reliably estimate rainfall through quality control of I/Q data that can quantify uncertainty of I/Q data occurring due to resultant errors. Radar rainfall data have strong uncertainty due to various factors influencing quality. In order to reduce this uncertainty, previously enumerated errors in quality need to be eliminated. However, errors cannot be completely eliminated in some cases as seen in random errors, so uncertainty is necessarily involved in radar rainfall data. Multi-Lag Method, one of I/Q data quality control methods, was applied to estimate precipitation with regard to I/Q data of rainfall radar in Mt. Sobaek.

키워드

참고문헌

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