Automatic building extraction from airborne lidar point cloud based on shift segmentation

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Hui, Z. and Hu, Y. and Ziggah, Y.Y. (2016) Automatic building extraction from airborne lidar point cloud based on shift segmentation. In: GEOBIA 2016 : Solutions and Synergies., 14 September 2016 - 16 September 2016, University of Twente Faculty of Geo-Information and Earth Observation (ITC) .

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Event: GEOBIA 2016 : Solutions and Synergies., 14 September 2016 - 16 September 2016, University of Twente Faculty of Geo-Information and Earth Observation (ITC)
Abstract:Building extraction is an important part for smart city construction. This paper proposes a novel method for automatic building extraction from airborne LiDAR point cloud. In the present study, filtering was first applied to point cloud, which could help obtain elevated points for generating the DTM. The building-candidate points were then obtained by setting a threshold from the DTM. To distinguish the tree points from building points, three constraints, namely, area constraint, point density constraint and root mean square error constraint were applied to the building-candidate points. By comparing with the reference data generated manually, the evaluation result shows that the proposed method could yield a good performance
Item Type:Conference or Workshop Item (Paper)
Link to this item:https://doi.org/10.3990/2.408
Conference URL:https://www.geobia2016.com/
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