The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLI-B3
https://doi.org/10.5194/isprs-archives-XLI-B3-221-2016
https://doi.org/10.5194/isprs-archives-XLI-B3-221-2016
09 Jun 2016
 | 09 Jun 2016

STREET-SCENE TREE SEGMENTATION FROM MOBILE LASER SCANNING DATA

H. Guan, S. Cao, Y. Yu, J. Li, N. Liu, P. Chen, and Y. Li

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.