3D MODEL GENERATION USING OBLIQUE IMAGES ACQUIRED BY UAV

16 citations as recorded by crossref.

1. Use of UAV-Photogrammetry for Quasi-Vertical Wall Surveying P. Martínez-Carricondo et al. https://doi.org/10.3390/rs12142221
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3. Digital Twinning for 20th Century Concrete Heritage: HBIM Cognitive Model for Torino Esposizioni Halls A. Spanò et al. https://doi.org/10.3390/s23104791
4. MUL-VR: Multi-UAV Collaborative Layered Visual Perception and Transmission for Virtual Reality X. Tang et al. https://doi.org/10.1109/TWC.2024.3524275
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6. Improving Risk Projection and Mapping of Coastal Flood Hazards Caused by Typhoon-Induced Storm Surges and Extreme Sea Levels Y. Shen et al. https://doi.org/10.3390/atmos14010052
7. Ground Control Point Distribution for Accurate Kilometre-Scale Topographic Mapping Using an RTK-GNSS Unmanned Aerial Vehicle and SfM Photogrammetry E. Stott et al. https://doi.org/10.3390/drones4030055
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12. Quality assessment of 3D point cloud of industrial buildings from imagery acquired by oblique and nadir UAV flights C. Cuong et al. https://doi.org/10.33271/nvngu/2021-5/131
13. Enhanced 3-D Urban Scene Reconstruction and Point Cloud Densification Using Gaussian Splatting and Google Earth Imagery K. Gao et al. https://doi.org/10.1109/TGRS.2025.3536169
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16. Optimization of OpenStreetMap Building Footprints Based on Semantic Information of Oblique UAV Images X. Zhuo et al. https://doi.org/10.3390/rs10040624