Automatic Roof Plane Detection and Analysis in Airborne Lidar Point Clouds for Solar Potential Assessment

@inproceedings{Jochem2009AutomaticRP,
  title={Automatic Roof Plane Detection and Analysis in Airborne Lidar Point Clouds for Solar Potential Assessment},
  author={Andreas Jochem and Bernhard H{\"o}fle and Martin Rutzinger and Norbert Pfeifer},
  booktitle={Sensors},
  year={2009}
}
A relative height threshold is defined to separate potential roof points from the point cloud, followed by a segmentation of these points into homogeneous areas fulfilling the defined constraints of roof planes. The normal vector of each laser point is an excellent feature to decompose the point cloud into segments describing planar patches. An object-based error assessment is performed to determine the accuracy of the presented classification. It results in 94.4% completeness and 88.4… CONTINUE READING
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