A Research for the Extraction of 3D Urban Building By Using Airborne Laser Scanner Data

This paper will focus on the extraction of 3D urban building from ALS (Airborne Laser Scanner) data in built-up areas with the incorporation of GIS data . Sample terrain points are firstly captured by the integration of normalized DMS data and GIS road network data. Rough DEM is interpolated from the sample terrain points, which make it possible to extract potential building by subtracting from DSM data. Due to the vegetation areas may close to buildings and probably melted together in the DSM, low-rise building and high-rise building segments are discriminated based on local height information. A method to remove building noises by multi -criterions such as building size, building height and roof smooth, is proposed. The test is selected at a high -density building region in Tokyo with a 50cm × 50cm resolution ALS data. A comparing with orthographic aerial photograph is taken to evaluate the extracting accuracy. Results show a high accuracy can be achieved to extract building with the method proposed in this paper.