본문 바로가기
  • Home

A Study on the Analysis of Jeju Island Precipitation Patterns using the Convolution Neural Network

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2019, 15(2), pp.59-66
  • DOI : 10.29056/jsav.2019.12.08
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : October 23, 2019
  • Accepted : December 20, 2019
  • Published : December 31, 2019

Dong-Hoon Lee 1 Lee Bong Kyu 2

1제주대학교 전산통계학과
2제주대학교

Candidate

ABSTRACT

Since Jeju is the absolute weight of agriculture and tourism, the analysis of precipitation is more important than other regions. Currently, some numerical models are used for analysis of precipitation of Jeju Island using observation data from meteorological satellites. However, since precipitation changes are more diverse than other regions, it is difficult to obtain satisfactory results using the existing numerical models. In this paper, we propose a Jeju precipitation pattern analysis method using the texture analysis method based on Convolution Neural Network (CNN). The proposed method converts the water vapor image and the temperature information of the area of ​​Jeju Island from the weather satellite into texture images. Then converted images are fed into the CNN to analyse the precipitation patterns of Jeju Island. We implement the proposed method and show the effectiveness of the proposed method through experiments.

Citation status

* References for papers published after 2022 are currently being built.