PERFORMANCE EVALUATION OF DIFFERENT GROUND FILTERING ALGORITHMS FOR UAV-BASED POINT CLOUDS

9 citations as recorded by crossref.

1. Comparison of low-altitude UAV photogrammetry with terrestrial laser scanning as data-source methods for terrain covered in low vegetation W. Gruszczyński et al.
2. 3D Registration and Integrated Segmentation Framework for Heterogeneous Unmanned Robotic Systems H. Balta et al.
3. Apple orchard inventory with a LiDAR equipped unmanned aerial system E. Hadas et al.
4. Systematic Approach for Remote Sensing of Historical Conflict Landscapes with UAV-Based Laserscanning M. Storch et al.
5. Accuracy Assessment of Point Clouds from LiDAR and Dense Image Matching Acquired Using the UAV Platform for DTM Creation A. Salach et al.
6. Integrating Elevation Frequency Histogram and Multi-Feature Gaussian Mixture Model for Ground Filtering of UAV LiDAR Point Clouds in Densely Vegetated Areas C. Liu et al.
7. Identification of Building Damage from UAV-Based Photogrammetric Point Clouds Using Supervoxel Segmentation and Latent Dirichlet Allocation Model C. Liu et al.
8. UAV-Based Estimation of Tea Leaf Area Index in Mountainous Terrain: Integrating Topographic Correction and Interpretable Machine Learning N. Lin et al.
9. Automatic Separation of Photosynthetic Components in a LiDAR Point Cloud Data Collected from a Canadian Boreal Forest L. Taheriazad et al.