UNSUPERVISED OBJECT-BASED CLUSTERING IN SUPPORT OF SUPERVISED POINT-BASED 3D POINT CLOUD CLASSIFICATION

5 citations as recorded by crossref.

1. Performance Analysis of Random Forest Algorithm in Automatic Building Segmentation with Limited Data R. Widyastuti et al. https://doi.org/10.3390/ijgi13070235
2. Combining 3D Urban Objects from All Around the World to Improve Object Classification and Semantic Segmentation O. Bayrak et al. https://doi.org/10.1007/s41064-025-00374-7
3. Evaluation of LiDAR-Derived Features Relevance and Training Data Minimization for 3D Point Cloud Classification S. Morsy & A. Shaker https://doi.org/10.3390/rs14235934
4. Knowledge Enhanced Neural Networks for Point Cloud Semantic Segmentation E. Grilli et al. https://doi.org/10.3390/rs15102590
5. Automatic region-growing system for the segmentation of large point clouds F. Poux et al. https://doi.org/10.1016/j.autcon.2022.104250