Operational performance of a combined Density- and Clustering-based approach to extract bathymetry returns from LiDAR point clouds.
Kim LowellBrian CalderPublished in: Int. J. Appl. Earth Obs. Geoinformation (2022)
Keyphrases
- point cloud
- surface reconstruction
- clustering algorithm
- structure from motion
- point sets
- lidar data
- density based clustering algorithm
- clustering method
- k means
- stereo camera
- data points
- point cloud data
- multi view reconstruction
- arbitrary shape
- triangular mesh
- laser scanner
- viewpoint
- multi view stereo
- feature vectors
- iterative closest point
- vision system