DERIVING 3D POINT CLOUDS FROM TERRESTRIAL PHOTOGRAPHS - COMPARISON OF DIFFERENT SENSORS AND SOFTWARE

9 citations as recorded by crossref.

1. CRBeDaSet: A Benchmark Dataset for High Accuracy Close Range 3D Object Reconstruction G. Gabara & P. Sawicki https://doi.org/10.3390/rs15041116
2. Researching the optimal combination of UAV equipment for performing surveying measurements and software for processing the results D. Polishchyk et al. https://doi.org/10.1088/1755-1315/1415/1/012029
3. Super-Resolution Images Methodology Applied to UAV Datasets to Road Pavement Monitoring L. Inzerillo et al. https://doi.org/10.3390/drones6070171
4. A Comparative Analysis of UAV Photogrammetric Software Performance for Forest 3D Modeling: A Case Study Using AgiSoft Photoscan, PIX4DMapper, and DJI Terra S. Jarahizadeh & B. Salehi https://doi.org/10.3390/s24010286
5. Accuracy Assessment of Small Unmanned Aerial Vehicle for Traffic Accident Photogrammetry in the Extreme Operating Conditions of Kuwait A. Almeshal et al. https://doi.org/10.3390/info11090442
6. Low-Cost UAV for High-Resolution and Large-Scale Coastal Dune Change Monitoring Using Photogrammetry Q. Laporte-Fauret et al. https://doi.org/10.3390/jmse7030063
7. Nokta Bulutu Üretiminde Cep Telefonu ve DSLR Fotoğraf Makinesi Kullanımının Araştırılması E. SEYREK et al. https://doi.org/10.53030/tufod.1100014
8. A New Approach for Inspection of Selected Geometric Parameters of a Railway Track Using Image-Based Point Clouds G. Gabara & P. Sawicki https://doi.org/10.3390/s18030791
9. UAV-based 3D segmentation and structural damage assessment of regional buildings S. Shah et al. https://doi.org/10.1007/s13349-025-01030-9