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http://dx.doi.org/10.5392/JKCA.2014.14.05.425

Extracting Roof Edges of Small Buildings from Digital Aerial Photographs  

Lee, Jin-Duk (금오공과대학교 토목환경공학부)
Bhang, Kon-Joon (금오공과대학교 토목환경공학부)
Kim, Sung-Hoon (금오공과대학교 토목환경공학부)
Lee, Kyu-Dal (금오공과대학교 토목환경공학부)
Publication Information
The Journal of the Korea Contents Association / v.14, no.5, 2014 , pp. 425-435 More about this Journal
Abstract
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.
Keywords
Digital Aerial Orthophoto; Man-made Features; Edge Detection Algorithm; Differencing;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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