PHOTOGRAMMETRIC MISSION PLANNER FOR RPAS

8 citations as recorded by crossref.

1. Area-Wide Prediction of Vertebrate and Invertebrate Hole Density and Depth across a Climate Gradient in Chile Based on UAV and Machine Learning P. Grigusova et al. https://doi.org/10.3390/drones5030086
2. Technical Report: Unmanned Helicopter Solution for Survey-Grade Lidar and Hyperspectral Mapping J. Kaňuk et al. https://doi.org/10.1007/s00024-018-1873-2
3. The Design and Experimental Development of Air Scanning Using a Sniffer Quadcopter E. Kuantama et al. https://doi.org/10.3390/s19183849
4. Nonvisible satellite estimation algorithm for improved uav navigation in mountainous regions F. Vivo et al. https://doi.org/10.1109/MAES.2018.170220
5. Planning airborne photogrammetry and remote-sensing missions with modern platforms and sensors M. Pepe et al. https://doi.org/10.1080/22797254.2018.1444945
6. UAV Platforms and the SfM-MVS Approach in the 3D Surveys and Modelling: A Review in the Cultural Heritage Field M. Pepe et al. https://doi.org/10.3390/app122412886
7. Digital transport traseology based on Agisoft Metashape and unmanned aerial vehicle A. Nedobitkov https://doi.org/10.26518/2071-7296-2022-19-6-890-899
8. PhenoFly Planning Tool: flight planning for high-resolution optical remote sensing with unmanned areal systems L. Roth et al. https://doi.org/10.1186/s13007-018-0376-6