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 10.1016/j.isprsjprs.2013.04.001
2. Automatic Weighted Splines Filter (AWSF): A New Algorithm for Extracting Terrain Measurements From Raw LiDAR Point Clouds Z. Abdeldayem 10.1109/JSTARS.2019.2950600
3. An Image-Segmentation-Based Urban DTM Generation Method Using Airborne Lidar Data Z. Chen et al. 10.1109/JSTARS.2015.2512498
4. Classification of lidar bare-earth points, buildings, vegetation, and small objects based on region growing and angular classifier J. Sánchez-Lopera & J. Lerma 10.1080/01431161.2014.960619
5. Hybrid Overlap Filter for LiDAR Point Clouds Using Free Software S. Buján et al. 10.3390/rs12071051
6. Towards intelligent ground filtering of large-scale topographic point clouds: A comprehensive survey N. Qin et al. 10.1016/j.jag.2023.103566
7. State-of-the-Art: DTM Generation Using Airborne LIDAR Data Z. Chen et al. 10.3390/s17010150
8. Morphologically iterative triangular irregular network for airborne LiDAR filtering 10.1117/1.JRS.14.034525