A MIN-CUT BASED FILTER FOR AIRBORNE LIDAR DATA

8 citations as recorded by crossref.

1. A voxel-based multiscale morphological airborne lidar filtering algorithm for digital elevation models for forest regions L. Liu & S. Lim https://doi.org/10.1016/j.measurement.2018.03.020
2. Building Extraction from Airborne LiDAR Data Based on Multi-Constraints Graph Segmentation Z. Hui et al. https://doi.org/10.3390/rs13183766
3. Correction of Low Vegetation Impact on UAV-Derived Point Cloud Heights With U-Net Networks W. Gruszczynski et al. https://doi.org/10.1109/TGRS.2021.3057272
4. Towards intelligent ground filtering of large-scale topographic point clouds: A comprehensive survey N. Qin et al. https://doi.org/10.1016/j.jag.2023.103566
5. Automated ground filtering of LiDAR and UAS point clouds with metaheuristics V. Yilmaz https://doi.org/10.1016/j.optlastec.2020.106890
6. Building Extraction From LiDAR Data Applying Deep Convolutional Neural Networks E. Maltezos et al. https://doi.org/10.1109/LGRS.2018.2867736
7. An Active Learning Method for DEM Extraction From Airborne LiDAR Point Clouds Z. Hui et al. https://doi.org/10.1109/ACCESS.2019.2926497
8. Building Extraction from Airborne Multi-Spectral LiDAR Point Clouds Based on Graph Geometric Moments Convolutional Neural Networks D. Li et al. https://doi.org/10.3390/rs12193186