Volume XLII-2/W6
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W6, 399-406, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W6-399-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W6, 399-406, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W6-399-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  24 Aug 2017

24 Aug 2017

POINT CLOUD ANALYSIS FOR UAV-BORNE LASER SCANNING WITH HORIZONTALLY AND VERTICALLY ORIENTED LINE SCANNERS – CONCEPT AND FIRST RESULTS

M. Weinmann, M. S. Müller, M. Hillemann, N. Reydel, S. Hinz, and B. Jutzi M. Weinmann et al.
  • Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology (KIT) Englerstr. 7, 76131 Karlsruhe, Germany

Keywords: Unmanned Aerial System, Laser Scanning, Multi-Sensor, Point Cloud, Feature Extraction, Scene Interpretation

Abstract. In this paper, we focus on UAV-borne laser scanning with the objective of densely sampling object surfaces in the local surrounding of the UAV. In this regard, using a line scanner which scans along the vertical direction and perpendicular to the flight direction results in a point cloud with low point density if the UAV moves fast. Using a line scanner which scans along the horizontal direction only delivers data corresponding to the altitude of the UAV and thus a low scene coverage. For these reasons, we present a concept and a system for UAV-borne laser scanning using multiple line scanners. Our system consists of a quadcopter equipped with horizontally and vertically oriented line scanners. We demonstrate the capabilities of our system by presenting first results obtained for a flight within an outdoor scene. Thereby, we use a downsampling of the original point cloud and different neighborhood types to extract fundamental geometric features which in turn can be used for scene interpretation with respect to linear, planar or volumetric structures.