Name
Title | ||
|---|---|---|
Utilizing a Discrete Global Grid System For Handling Point Clouds With Varying Locations, Times, and Levels of Detail |
Abstract | ||
|---|---|---|
Discrete global grid systems (DGGSs) have emerged in recent years as a new specification for working with global heterogeneous data sets in a Digital Earth framework. Point clouds originating from different sources usually have varying initial characteristics. This research aims to analyze to what extent a DGGS can be used to handle point clouds having varying coordinate systems, acquired at different levels of detail (densities), and at different times in the creation of a global map of point clouds. DGGSs, which are currently limited to a 2D (surface) space, are extended into 3D and 4D spaces to fully harness the multidimensional nature of point clouds. A continuous spatial indexing strategy, based on a space-filling curve, is then developed on an ellipsoidal model of the Earth and used to efficiently cluster and retrieve DGGS-based point clouds stored in a database. Finally, the queried points are visualized in a Web browser. The hierarchical, multi-resolution nature of a DGGS is exploited to achieve a variable-scale smooth-zoom visualization. The challenges and opportunities of point cloud integration in a DGGS are presented. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3138/cart.54.1.2018-0009 | CARTOGRAPHICA |
Keywords | Field | DocType |
DGGS,point cloud,database,indexing,LIDAR,projection,integration,visualization | Coordinate system,Data mining,Indexation,Raster graphics,Visualization,Search engine indexing,Lidar,Grid system,Point cloud,Geography | Journal |
Volume | Issue | ISSN |
54 | 1 | 0317-7173 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Neeraj Sirdeshmukh | 1 | 0 | 0.34 |
| Edward Verbree | 2 | 49 | 6.46 |
| Peter Van Oosterom | 3 | 569 | 69.36 |
| Stella Psomadaki | 4 | 0 | 0.34 |
| Martin Kodde | 5 | 0 | 0.34 |