Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W3, 607-612, 2015
https://doi.org/10.5194/isprsarchives-XL-3-W3-607-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
20 Aug 2015
IQPC 2015 TRACK: TREE SEPARATION AND CLASSIFICATION IN MOBILE MAPPING LIDAR DATA
B. Gorte1, S. Oude Elberink2, B. Sirmacek1, and J. Wang1 1Dept. of Geoscience and Remote Sensing, TU Delft, the Netherlands
2ITC, University of Twente, the Netherlands
Keywords: Mobile mapping systems, Lidar, Tree separation, Classification Abstract. The European FP7 project IQmulus yearly organizes several processing contests, where submissions are requested for novel algorithms for point cloud and other big geodata processing. This paper describes the set-up and execution of a contest having the purpose to evaluate state-of-the-art algorithms for Mobile Mapping System point clouds, in order to detect and identify (individual) trees. By the nature of MMS these are trees in the vicinity of the road network (rather than in forests). Therefore, part of the challenge is distinguishing between trees and other objects, such as buildings, street furniture, cars etc. Three submitted segmentation and classification algorithms are thus evaluated.
Conference paper (PDF, 1860 KB)


Citation: Gorte, B., Oude Elberink, S., Sirmacek, B., and Wang, J.: IQPC 2015 TRACK: TREE SEPARATION AND CLASSIFICATION IN MOBILE MAPPING LIDAR DATA, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W3, 607-612, https://doi.org/10.5194/isprsarchives-XL-3-W3-607-2015, 2015.

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