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

한국측량학회 (Korean Society of Surveying, Geodesy, Photogrammetry and Cartography)
권호 표지

Landsat TM 영상에서 요인분석과 군집분석을 이용한 산불 피해정도 분류

Classification of Fire Damaged Degree Using the Factor Analysis and Cluster Analysis from the Landsat TM Image

  • 김성학 (관동대학교 대학원 토목공학과) ;
  • 김열 (관동대학교 대학원 토목공학과) ;
  • 최승필 (관동대학교 공과대학 토목공학과) ;
  • 최철순 (관동대학교 공과대학 토목공학과)
  • 발행 : 2007.04.19
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초록

After the forest fire, as access is not easy, forest damage degree are determined with Landsat TM image rather than visual inspection. Therefore in this study, damaged areas are extracted with factor analysis and cluster analysis. Second factor analysis was performed for areas suspicious as forest fire damage areas to evaluate accuracy after separating into strong, medium and light forest fire areas.

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