Proceedings of the KSRS Conference (대한원격탐사학회:학술대회논문집)

  • 2003.11a
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  • Pages.458-460
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  • 2003
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  • 1226-9743(pISSN)
Korean Society of Remote Sensing (대한원격탐사학회)
권호 표지

Cloudy Area Detection Algorithm By GHA and SOFM

  • Seo, Seok-Bae (Satellite Operation Center, Korea Aerospace Research Institute) ;
  • Kim, Jong-Woo (Satellite Operation Center, Korea Aerospace Research Institute) ;
  • Lee, Joo-Hee (Satellite Operation Center, Korea Aerospace Research Institute) ;
  • Lim, Hyun-Su (Satellite Operation Center, Korea Aerospace Research Institute) ;
  • Choi, Gi-Hyuk (Satellite Operation Center, Korea Aerospace Research Institute) ;
  • Choi, Hae-Jin (Satellite Operation Center, Korea Aerospace Research Institute)
  • Published : 2003.11.03
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Abstract

This paper proposes new algorithms for cloudy area detection by GHA (Generalized Hebbian Algorithm) and SOFM (Self-Organized Feature Map). SOFM and GHA are unsupervised neural networks and are used for pattern classification and shape detection of satellite image. Proposed algorithm is based on block based image processing that size is 16${\times}$16. Results of proposed algorithm shows good performance of cloudy area detection except blur cloudy area.

Keywords