Volume II-5/W2
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-5/W2, 49-54, 2013
https://doi.org/10.5194/isprsannals-II-5-W2-49-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-5/W2, 49-54, 2013
https://doi.org/10.5194/isprsannals-II-5-W2-49-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

  16 Oct 2013

16 Oct 2013

Range image segmentation for tree detection in forest scans

A. Bienert and D. Schneider A. Bienert and D. Schneider
  • Technische Universität Dresden, Institute of Photogrammetry and Remote Sensing, 01062 Dresden, Germany

Keywords: Terrestrial Laser Scanning, Range Image, Segmentation, Tree Detection, Forest

Abstract. To make a tree-wise analysis inside a forest stand, the trees have to be identified. An interactive segmentation is often labourintensive and time-consuming. Therefore, an automatic detection process will aspired using a range image. This paper presents a method for the segmentation of range images extracted from terrestrial laser scanner point clouds of forest stands. After range image generation the segmentation is carried out with a connectivity analysis using the differences of the range values as homogeneity criterion. Subsequently, the tree detection is performed interactively by analysing one horizontal image line. When passing objects with a specific width, the object indicates a potential tree. By using the edge points of a segmented pixel group the tree position and diameter is calculated. Results from one test site are presented to show the performance of the method.