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LANDSAT 데이터로부터 매우 도시화된 지역의 토지이용정보 습득에 관한 연구
김정준 경북대학교 전자기술연구소 1983 電子技術硏究誌 Vol.4 No.1
It is difficult to extract land use information in highly urbanized area from Landsat data because of spatial condensity and complexity of urban area and the limited resolution of Landsat data. In this paper, we show that an approach to highly urbanized land use classification based on clustering appears to be more suitable and treat the operational procedure. Classification algorithms based on clustering and Bayes decision rule are applied to Castro Valley area and their results are examined.