Print Email Facebook Twitter Extraction of building roof edges from LiDAR data to optimize the digital surface model for true orthophoto generation Title Extraction of building roof edges from LiDAR data to optimize the digital surface model for true orthophoto generation Author Widyaningrum, E. (TU Delft Optical and Laser Remote Sensing; Geospatial Information Agency) Lindenbergh, R.C. (TU Delft Optical and Laser Remote Sensing) Gorte, B.G.H. (University of New South Wales) Zhou, K. (TU Delft Optical and Laser Remote Sensing) Date 2018-05-30 Abstract Various kinds of urban applications require true orthophotos. True orthophoto generation requires a DSM (Digital Surface Model) to project the photo orthogonally and minimize geometric distortion due to topographic variance. DSMs are often generated from airborne laser scan data. In urban scenes, DSM data may fail to deliver sharp and straight building roof edges. This will affect the quality of the resulting orthophotos. Therefore, it is necessary to incorporate good quality building outlines as breaklines during DSM interpolation. This study proposes a data-driven approach to construct building roof outlines from LiDAR point clouds by a workflow consisting of the following steps: given roof segments, roof boundary points are extracted using a concave hull algorithm. Straight edges may be difficult to find in complex roof configurations. Therefore, two ingredients are combined. First, RanSAC corner point preselection, and second, DBSCAN-based clustering of edge points. The method is demonstrated on an area of ±1.2 km2 containing 42 buildings of different characteristics. A quality assessment shows that the proposed method is able to deliver 92% of building lines with acceptable geometric accuracy in comparison to a building line in the base map. Subject Aerial photosDSMEdge detectionLiDARTrue orthophoto To reference this document use: http://resolver.tudelft.nl/uuid:65af6d89-c3bc-45cd-8f99-849bc093ae0a DOI https://doi.org/10.5194/isprs-archives-XLII-2-1199-2018 ISSN 1682-1750 Source International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 42 (2), 1199-1205 Event ISPRS TC II Mid-term Symposium, 2018-06-04 → 2018-06-07, Riva del Garda, Italy Part of collection Institutional Repository Document type journal article Rights © 2018 E. Widyaningrum, R.C. Lindenbergh, B.G.H. Gorte, K. Zhou Files PDF isprs_archives_XLII_2_1199_2018.pdf 1.53 MB Close viewer /islandora/object/uuid:65af6d89-c3bc-45cd-8f99-849bc093ae0a/datastream/OBJ/view