Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference (한국측량학회:학술대회논문집)

Korean Society of Surveying, Geodesy, Photogrammetry and Cartography (한국측량학회)
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A study of Land-Cover Classification technique Using Fuzzy C-Mean Algorithm

Fuzzy C-Mean 알고리즘을 이용한 토지피복분류기법 연구

  • 신석효 (경상대학교 공학연구원 건설연구센터) ;
  • 안기원 (경상대학교 공과대학 토목공학) ;
  • 이주원 (경상대학교 공학연구원 자동화ㆍ컴퓨터센) ;
  • 김상철 (경상대학교 공과대학 토목공학과)
  • Published : 2004.04.01
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Abstract

The advantage of the remote sensing is extraction the information of wide area rapidly. Such advantage is the resource and environment are quick and efficient method to grasps accurately method through the land cover classification of wide area. Accordingly this study is used to the high-resolution (6.6m) Electro-Optical Camera (EOC) panchromatic image of the first Korea Multi-Purpose Satellite 1 (KOMPSAT-1) and the multi-spectral Moderate Resolution Imaging Spectroradiometer (MODIS) image data(36 bands).We accomplished FCM classification technique with MLC technique to be general land cover classification method in the content of research. And evaluated the accuracy assessment of two classification method.

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