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COMPARISON OF METHODS FOR AUTOMATED BUILDING EXTRACTION FROM HIGH RESOLUTION IMAGE DATA

This paper discusses a comparison analysis of different methods for automated building extraction from aerial and spaceborne imagery. Particularly approaches employing the Hough Transformation, Pattern Recognition Procedures and Texture Analysis are examined. Throughout this investigation advantages and disadvantages of the mentioned methods are examined, in order to see which procedures are suitable for extracting the geometric building properties, and thus to automatically create a DCM (Digital City Model). The examined data sets consist of panchromatic imagery coming from both very high resolution satellites, as well as line scanning aerial sensors. A quantitative and qualitative assessment will help to evaluate the previously mentioned procedures.