FILTERING AIRBORNE LIDAR DATA BY AN IMPROVED MORPHOLOGICAL METHOD BASED ON MULTI-GRADIENT ANALYSIS

11 citations as recorded by crossref.

1. DecHPoints: A New Tool for Improving LiDAR Data Filtering in Urban Areas S. Buján et al. 10.1007/s41064-019-00088-7
2. Classification of airborne laser scanning point clouds based on binomial logistic regression analysis C. Stal et al. 10.1080/01431161.2014.904973
3. 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
4. LiDAR Data Filtering and DTM Generation Using Empirical Mode Decomposition A. Ozcan & C. Unsalan 10.1109/JSTARS.2016.2543464
5. Detection and correction of LiDAR raster data from the Italian national remote sensing programme and production of a suitable CHM to forest volume estimation in Calabria (southern Italy) A. Floris et al. 10.3832/efor2328-014
6. Hybrid Overlap Filter for LiDAR Point Clouds Using Free Software S. Buján et al. 10.3390/rs12071051
7. Multidirectional Shift Rasterization (MDSR) Algorithm for Effective Identification of Ground in Dense Point Clouds M. Štroner et al. 10.3390/rs14194916
8. Morphologically iterative triangular irregular network for airborne LiDAR filtering 10.1117/1.JRS.14.034525
9. An adaptive surface filter for airborne laser scanning point clouds by means of regularization and bending energy H. Hu et al. 10.1016/j.isprsjprs.2014.02.014
10. A two-stage algorithm for ground filtering of airborne laser scanning data B. Kumar et al. 10.1080/01431161.2018.1466074
11. Ground filtering and DTM generation from DSM data using probabilistic voting and segmentation A. Özcan et al. 10.1080/01431161.2018.1434327