STREET-SCENE TREE SEGMENTATION FROM MOBILE LASER SCANNING DATA
- 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.