AN ITERATIVE TERRAIN RECOVERY APPROACH TO AUTOMATED DTM GENERATION FROM AIRBORNE LIDAR POINT CLOUDS

8 citations as recorded by crossref.

1. Filtering airborne LiDAR data by embedding smoothness-constrained segmentation in progressive TIN densification J. Zhang & X. Lin
2. Automatic Weighted Splines Filter (AWSF): A New Algorithm for Extracting Terrain Measurements From Raw LiDAR Point Clouds Z. Abdeldayem
3. An Image-Segmentation-Based Urban DTM Generation Method Using Airborne Lidar Data Z. Chen et al.
4. Classification of lidar bare-earth points, buildings, vegetation, and small objects based on region growing and angular classifier J. Sánchez-Lopera & J. Lerma
5. Hybrid Overlap Filter for LiDAR Point Clouds Using Free Software S. Buján et al.
6. Towards intelligent ground filtering of large-scale topographic point clouds: A comprehensive survey N. Qin et al.
7. State-of-the-Art: DTM Generation Using Airborne LIDAR Data Z. Chen et al.
8. Morphologically iterative triangular irregular network for airborne LiDAR filtering