Acta Geodaetica et Cartographica Sinica ›› 2015, Vol. 44 ›› Issue (9): 980-987.doi: 10.11947/j.AGCS.2015.20140339

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Hierarchical Extraction of Multiple Objects from Mobile Laser Scanning Data

DONG Zhen1,2, YANG Bisheng1,2   

  1. 1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
    2. Engineering Research Center for Spatial-temporal Data Smart Acquisition and Application, Ministry of Education of China, Wuhan University, Wuhan 430079, China
  • Received:2014-07-01 Revised:2014-12-25 Online:2015-09-24 Published:2015-09-24
  • Contact: 杨必胜,bshyang@whu.edu.cn E-mail:bshyang@whu.edu.cn
  • Supported by:
    The National Basic Research Program of China(973 Program)(No.2012CB725301);The National Natural Science Foundation of China (No.41071268)

Abstract: This paper proposes an efficient method to extract multiple objects from mobile laser scanning data. The proposed method firstly generates multi-scale supervoxels from 3D point clouds using colors, intensities and spatial distances. Then, a graph-based segmentation method is applied to segment the supervoxels by integrating their colors, intensities, normal vectors, and principal directions. Then, the saliency of each segment is calculated and the most salient segment is selected as a seed to cluster for objects clustering. Hence, the objects are classified and the constraint conditions of object's category are included to re-clustering for more accurate extraction of objects. Experiments show that the proposed method has a promising solution for extracting buildings, ground, street lamps, trees, telegraph poles, traffic signs, cars, enclosures and the objects extraction overall accuracy is 92.3%.

Key words: mobile laser scanning, multi-scale supervoxel, multiple object extraction, saliency, hierarchical extraction

CLC Number: