Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 221-225, 2016
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/221/2016/
doi:10.5194/isprs-archives-XLI-B3-221-2016
 
09 Jun 2016
STREET-SCENE TREE SEGMENTATION FROM MOBILE LASER SCANNING DATA
H. Guan1, S. Cao1, Y. Yu2, J. Li3,4, N. Liu1, P. Chen1, and Y. Li5 1School of Geography and Remote Sensing, Nanjing University of Information Scienchaiye & Technology, Nanjing, 210044, China
2Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huaian, 223003, China
3School of Information Science and Engineering, Xiamen University, Xiamen, Fujian 361005, China
4Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON N2L 3G1, Canada
5School of Civil Engineering and Architecture, Nanchang University, Nanchang, 330031 China
Keywords: Mobile Laser Scanning Data, Filtering, Tree Extraction, Voxelization, Normalized Cut Abstract. Our work addresses the problem of extracting trees from mobile laser scanning data. The work is a two step-wise strategy, including terrain point removal and tree segmentation. First, a voxel-based upward growing filtering is proposed to remove terrain points from the mobile laser scanning data. Then, a tree segmentation is presented to extract individual trees via a Euclidean distance clustering approach and Voxel-based Normalized Cut (VNCut) segmentation approach. A road section data acquired by a RIEGL VMX-450 system are selected for evaluating the proposed tree segmentation method. Qualitative analysis shows that our algorithm achieves a good performance.
Conference paper (PDF, 767 KB)


Citation: Guan, H., Cao, S., Yu, Y., Li, J., Liu, N., Chen, P., and Li, Y.: STREET-SCENE TREE SEGMENTATION FROM MOBILE LASER SCANNING DATA, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 221-225, doi:10.5194/isprs-archives-XLI-B3-221-2016, 2016.

BibTeX EndNote Reference Manager XML