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Efficient Calculation of Distance Transform on Discrete Global Grid Systems
| Content Provider | MDPI |
|---|---|
| Author | Kazemi, Meysam Wecker, Lakin Samavati, Faramarz |
| Copyright Year | 2022 |
| Description | Geospatial data analysis often requires the computing of a distance transform for a given vector feature. For instance, in wildfire management, it is helpful to find the distance of all points in an area from the wildfire’s boundary. Computing a distance transform on traditional Geographic Information Systems (GIS) is usually adopted from image processing methods, albeit prone to distortion resulting from flat maps. Discrete Global Grid Systems (DGGS) are relatively new low-distortion globe-based GIS that discretize the Earth into highly regular cells using multiresolution grids. In this paper, we introduce an efficient distance transform algorithm for DGGS. Our novel algorithm heavily exploits the hierarchy of a DGGS and its mathematical properties and applies to many different DGGSs. We evaluate our method by comparing its speed and distortion with the distance transform methods used in traditional GIS and general 3D meshes. We demonstrate that our method is efficient and has minimal distortion. |
| Starting Page | 322 |
| e-ISSN | 22209964 |
| DOI | 10.3390/ijgi11060322 |
| Journal | ISPRS International Journal of Geo-Information |
| Issue Number | 6 |
| Volume Number | 11 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-05-25 |
| Access Restriction | Open |
| Subject Keyword | ISPRS International Journal of Geo-Information Isprs International Journal of Geo-information Artificial Intelligence Distance Transform Discrete Global Grid Systems Geographical Information Systems |
| Content Type | Text |
| Resource Type | Article |
