Bayesian Inference of Elevation to Reduce Large Interpolation Errors in 2-d Road Features Draped Over Digital Elevation Models
The usual approach for adding elevation data to two dimensional (2-d) vector features in a Geographic Information System (GIS) is to infer heights from a Digital Elevation Model (DEM), either through traditional (naïve) interpolation, Kriging, or deep learning. Where the terrain contains...
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10497907/ |
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