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Using 3D-Laser-Scanners and Image-Recognition for Volume-Based Single-Tree-Delineation and -Parameterization for 3D-GIS-Applications

  • Jürgen Rossmann
  • Arno Bücken
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

Today, 2D-GIS applications are standard tools in administration and management. As with all state-of-the-art systems certain environmental parameters were found to be difficult to perceive and convey, such that a novel 3D-presentation of the environment was developed to be more intuitive. The cost-effective graphics performance of current computers enables the move towards 3D-GIS and in turn, more detailed views of the environment. While current forestry-2D-GISs provide information on areas or collection of trees, the next generation of forestry-3D-GISs will store and make information available at level of an individual tree. In this paper we introduce an approach to bring vision technology into the forest. We present a volumetric algorithm based on the well-known watershed algorithm and use it to detect trees in laser-scanner point-clouds and four-channel aerial views. Based on this data, maps and virtual environments, ‘virtual forests’ are generated which can be used in a 3D-GIS for forest management, disaster management, forest machine navigation and other purposes.

Keywords

Aerial Photo Disaster Management Digital Terrain Model Lidar Data Digital Surface Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Jürgen Rossmann
    • 1
  • Arno Bücken
    • 1
  1. 1.Institute of Man-Machine-InteractionRWTH AachenAachen

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