Airborne laser scanning data storage and indexing: state-of-the-art review

被引:24
|
作者
Anh-Vu Vo [1 ]
Laefer, Debra F. [1 ,2 ]
Bertolotto, Michela [2 ,3 ]
机构
[1] Univ Coll Dublin, Sch Civil Engn, Urban Modelling Grp, Dublin 4, Ireland
[2] Univ Coll Dublin, Earth Inst, Dublin, Ireland
[3] Univ Coll Dublin, Sch Comp Sci, Dublin, Ireland
基金
欧洲研究理事会;
关键词
HIGH-RESOLUTION LIDAR; CLOUD; OCTREE; INFRASTRUCTURE;
D O I
10.1080/01431161.2016.1256511
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
While the rapid growth in the availability and quality of airborne laser scanning data offers unprecedented information, it challenges the existing data management and dissemination solutions. Data management has become a bottleneck to effective laser scanning data exploration. This paper documents the state-of-the-art techniques for aerial laser scanning (ALS) data storage and indexing during the post-processing stage. A brief history of laser scanning technology is presented with the intention to offer an overview about the evolution of the technology from the data point of view inclusive of full waveform data management. The key strategies for data handling, including data modelling and indexing, are extensively discussed.
引用
收藏
页码:6187 / 6204
页数:18
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