MIN-CUT BASED SEGMENTATION OF AIRBORNE LIDAR POINT CLOUDS

6 citations as recorded by crossref.

1. Efficient point cloud segmentation approach using energy optimization with geometric features for 3D scene understanding X. Li et al. https://doi.org/10.1364/JOSAA.410458
2. Two-Layer-Graph Clustering for Real-Time 3D LiDAR Point Cloud Segmentation H. Yang et al. https://doi.org/10.3390/app10238534
3. Building Extraction from Airborne LiDAR Data Based on Min-Cut and Improved Post-Processing K. Liu et al. https://doi.org/10.3390/rs12172849
4. A Review of Deep Learning-Based Semantic Segmentation for Point Cloud J. Zhang et al. https://doi.org/10.1109/ACCESS.2019.2958671
5. Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation Y. Xie et al. https://doi.org/10.1109/MGRS.2019.2937630
6. Review of 3D Point Cloud Data Segmentation Methods X. Ruan & B. Liu https://doi.org/10.21307/ijanmc-2020-010