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Proceedings Paper

Segmentation and classification of airborne laser scanner data for ground and building detection
Author(s): Gustav Tolt; Åsa Persson; Jonas Landgård; Ulf Söderman
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Paper Abstract

In this paper, a number of techniques for segmentation and classification of airborne laser scanner data are presented. First, a method for ground estimation is described, that is based on region growing starting from a set of ground seed points. In order to prevent misclassification of buildings and vegetation as ground, a number of non-ground regions are first extracted, in which seed points should be discarded. Then, a decision-level fusion approach for building detection is proposed, in which the outputs of different classifiers are combined in order to improve the final classification results. Finally, a technique for building reconstruction is briefly outlined. In addition to being a tool for creating 3D building models, it also serves as a final step in the building classification process since it excludes regions not belonging to any roof segment in the final building model.

Paper Details

Date Published: 19 May 2006
PDF: 9 pages
Proc. SPIE 6214, Laser Radar Technology and Applications XI, 62140C (19 May 2006); doi: 10.1117/12.665451
Show Author Affiliations
Gustav Tolt, Swedish Defence Research Agency (Sweden)
Åsa Persson, Swedish Defence Research Agency (Sweden)
Jonas Landgård, Swedish Defence Research Agency (Sweden)
Ulf Söderman, Swedish Defence Research Agency (Sweden)


Published in SPIE Proceedings Vol. 6214:
Laser Radar Technology and Applications XI
Gary W. Kamerman; Monte D. Turner, Editor(s)

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