Conference Proceedings

Automatic building extraction from LIDAR data covering complex urban scenes

M Awrangjeb, G Lu, CS Fraser

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences | Published : 2014

Abstract

This paper presents a new method for segmentation of LIDAR point cloud data for automatic building extraction. Using the ground height from a DEM (Digital Elevation Model), the non-ground points (mainly buildings and trees) are separated from the ground points. Points on walls are removed from the set of non-ground points by applying the following two approaches: If a plane fitted at a point and its neighbourhood is perpendicular to a fictitious horizontal plane, then this point is designated as a wall point. When LIDAR points are projected on a dense grid, points within a narrow area close to an imaginary vertical line on the wall should fall into the same grid cell. If three or more points..

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University of Melbourne Researchers

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