测绘通报 ›› 2017, Vol. 0 ›› Issue (3): 17-21,79.doi: 10.13474/j.cnki.11-2246.2017.0075

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An Organization Method of Vehicle-borne Massive Point Cloud Data Using Tile Indexing

XIE Hong1,2, HU Xiaobin1, GONG Xun1   

  1. 1. School of Geodesy and Geomatics of Wuhan University, Wuhan 430079, China;
    2. Postdoctors Innovation and Practice Base of Wuhan Geomatics Institute, Wuhan 430022, China
  • Received:2016-07-05 Revised:2017-02-03 Online:2017-03-25 Published:2017-03-31

Abstract: To improve the efficiency of visualization and processing for vehicle-borne mobile scanning point cloud data,combined with the global tile indexing, a novel organization and swapping approach is presented.Based on the spatial distribution analysis of concerning data,a novel mechanism is established to manage the massive data effectively,integrating the tile indexing and random sampling octree appropriately. The implemented experiments show it performs well in the process of data swapping,inquiring,dynamic updating for massive urban-block data,as well as the extended post-processing progress including segmentation,classification,et al.

Key words: vehicle-borne mobile scanning, massive point cloud data, tile indexing, organization and dynamic swapping

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