Paper
29 December 2008 The multi-level of detail organization of airborne LIDAR data
Suofa Zhuang, Jingbo Hu, Yongzhi Zhang, Fusheng Zhao
Author Affiliations +
Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72853N (2008) https://doi.org/10.1117/12.815702
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China
Abstract
Airborne LIDAR has a large number of data, which contains a large amount of redundant information. The information have little help or no help on the follow-up analysis, but the redundant data will take up a lot of storage space and computing time, which will take the inconvenience to the LIDAR data transmission and application. Therefore, in this paper we provide a kind of block algorithm on the basis of tile pyramid, which could rapidly process LIDAR data and reduce the data volume in the terrain mapping. Then based on the block algorithm, we put forward the simplification of LIDAR data, the experiment results show that the algorithm can control simplification degree of point cloud, delete the maximum redundant information, adaptive to retain topographical features information. Therefore, we could construct the Multi-Level of Detail Organization of Airborne LIDAR Data, and it can be the basis of the visualization and transmission network of LIDAR data.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Suofa Zhuang, Jingbo Hu, Yongzhi Zhang, and Fusheng Zhao "The multi-level of detail organization of airborne LIDAR data", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72853N (29 December 2008); https://doi.org/10.1117/12.815702
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Clouds

LIDAR

Data modeling

Data storage

Visualization

3D modeling

Data processing

RELATED CONTENT

3D sensing and imaging for UAVs
Proceedings of SPIE (October 16 2015)

Back to Top