articleUniversity of Twente Research InformationJan 1, 2025GREEN OA

Detection of building regions using airborne LiDAR : a new combination of raster and point cloud based GIS methods

CACar, Adriana [Hrsg.]
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Abstract

In this paper, a new GIS workflow for fully automated building detection from airborne LiDAR data is introduced. The strengths of both raster and point cloud based methods are combined, in order to derive reliable building candidate regions serving as input for 3D building outline extraction and modeling algorithms. Input data are a normalized Digital Surface Model (nDSM) and a slope-adaptive echo ratio raster, which is a significant parameter for solid objects with low surface roughness, such as buildings. In contrast, high vegetation exhibits a local vertical distribution of laser echoes leading to a low echo ratio value. Potential building areas are detected in the raster domain using standard tools…

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47
total citations
FWCI
1.64
Percentile
99%
References
10
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Authors

1
  • CA
    Car, Adriana [Hrsg.]Corresponding

Topics & keywords

Topics
Keywords
  • Point cloud
  • Raster graphics
  • Lidar
  • Remote sensing
  • Computer science
  • Digital elevation model
  • Raster data
  • Correctness
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