Extracting Roof Edges of Small Buildings from Digital Aerial Photographs

수치항공사진으로부터 소형건물의 지붕 경계 추출

  • 이진덕 (금오공과대학교 토목환경공학부) ;
  • 방건준 (금오공과대학교 토목환경공학부) ;
  • 김성훈 (금오공과대학교 토목환경공학부) ;
  • 이규달 (금오공과대학교 토목환경공학부)
  • Received : 2013.10.01
  • Accepted : 2014.05.07
  • Published : 2014.05.28


The research for extracting man-made features such as building and road from the aerial photograph or satellite imagery has been performed actively. As lately the resolution of digital aerial photographs was improved, unwanted features(noise) would be often detected. An edge detection algorithm is developed to make up for such a noise problem, make boundaries of wanted objects clear and extract only needed features. The algorithm developed in this research performs separating RGB channels, differencing between channels, transforming in to binary images, excluding noises and restoring shapes, and edge extraction in order. The images to be used for edge detection are prepared through bundle adjustment, DTM extraction, orthorectification and mosaicking. The roof edges of small building on preprocessed digital aerial orthophotos were extracted using the algorithm developed in this study. The validity of the algorithms was proved by comparing edge results of small building extracted in this study with those of conventional methods.


Digital Aerial Orthophoto;Man-made Features;Edge Detection Algorithm;Differencing


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