PHOTOGRAMMETRIC MISSION PLANNER FOR RPAS

10 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. 10.3390/drones5030086
2. Technical Report: Unmanned Helicopter Solution for Survey-Grade Lidar and Hyperspectral Mapping J. Kaňuk et al. 10.1007/s00024-018-1873-2
3. Mission Flight Planning of RPAS for Photogrammetric Studies in Complex Scenes J. Gómez-López et al. 10.3390/ijgi9060392
4. Mapping quality prediction for RTK/PPK-equipped micro-drones operating in complex natural environment E. Cledat et al. 10.1016/j.isprsjprs.2020.05.015
5. The Design and Experimental Development of Air Scanning Using a Sniffer Quadcopter E. Kuantama et al. 10.3390/s19183849
6. Nonvisible satellite estimation algorithm for improved uav navigation in mountainous regions F. Vivo et al. 10.1109/MAES.2018.170220
7. Planning airborne photogrammetry and remote-sensing missions with modern platforms and sensors M. Pepe et al. 10.1080/22797254.2018.1444945
8. UAV Platforms and the SfM-MVS Approach in the 3D Surveys and Modelling: A Review in the Cultural Heritage Field M. Pepe et al. 10.3390/app122412886
9. Digital transport traseology based on Agisoft Metashape and unmanned aerial vehicle A. Nedobitkov 10.26518/2071-7296-2022-19-6-890-899
10. PhenoFly Planning Tool: flight planning for high-resolution optical remote sensing with unmanned areal systems L. Roth et al. 10.1186/s13007-018-0376-6