Name
Title | ||
|---|---|---|
Terrain Modeling From Lidar Range Data in Natural Landscapes: A Predictive and Bayesian Framework |
Abstract | ||
|---|---|---|
The Earth's topography, including vegetation and human-made features, reduced to a virtual 3-D representation is a key geographic layer for any extended development or risk management project. Processed from multiple aerial images or from airborne lidar systems, the 3-D topography is first represented as a point cloud. This paper deals with the generation of digital terrain models (DTMs) in natura... |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TGRS.2009.2032653 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Predictive models,Laser radar,Bayesian methods,Filters,Clouds,Surface topography,Earth,Vegetation mapping,Risk management,Digital elevation models | Topographic map,Terrain,Remote sensing,Kalman filter,Digital elevation model,Lidar,Elevation,Point cloud,Mathematics,Bayesian probability | Journal |
Volume | Issue | ISSN |
48 | 3 | 0196-2892 |
Citations | PageRank | References |
8 | 0.86 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Frédéric Bretar | 1 | 24 | 5.30 |
| Nesrine Chehata | 2 | 28 | 10.59 |