Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Cloudy Area Detection in Satellite Image using K-Means & GHA

K-Means 와 GHA를 이용한 위성영상 구름영역 검출

  • 서석배 (한국항공우주연구원 위성운영센터) ;
  • 김종우 (한국항공우주연구원 위성운영센터) ;
  • 최해진 (한국항공우주연구원 위성운영센터)
  • Published : 2003.11.01
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Abstract

This paper proposes a new algorithm for cloudy area detection using K-Means and GHA (Generalized Hebbian Algorithm). K-Means is one of simple classification algorithm, and GHA is unsupervised neural network for data compression and pattern classification. Proposed algorithm is based on block based image processing that size is l6$\times$l6. Experimental results shows good performance of cloudy area detection except blur cloudy areas.

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