UAV LINEAR PHOTOGRAMMETRY

22 citations as recorded by crossref.

1. Accuracy Assessment of Point Clouds from LiDAR and Dense Image Matching Acquired Using the UAV Platform for DTM Creation A. Salach et al. https://doi.org/10.3390/ijgi7090342
2. A novel post-calibration method for digital cameras using image linear features H. Babapour et al. https://doi.org/10.1080/01431161.2016.1232875
3. Second Iteration of Photogrammetric Processing to Refine Image Orientation with Improved Tie-Points † N. Truong Giang et al. https://doi.org/10.3390/s18072150
4. Mitigating systematic error in topographic models for geomorphic change detection: accuracy, precision and considerations beyond off‐nadir imagery M. James et al. https://doi.org/10.1002/esp.4878
5. Suggestions to Limit Geometric Distortions in the Reconstruction of Linear Coastal Landforms by SfM Photogrammetry with PhotoScan® and MicMac® for UAV Surveys with Restricted GCPs Pattern M. Jaud et al. https://doi.org/10.3390/drones3010002
6. Evaluation of the accuracy of lidar data acquired using a UAS for levee monitoring: preliminary results K. Bakuła et al. https://doi.org/10.1080/01431161.2016.1277044
7. Structure from motion photogrammetry in ecology: Does the choice of software matter? J. Forsmoo et al. https://doi.org/10.1002/ece3.5443
8. Assessing the Accuracy of High Resolution Digital Surface Models Computed by PhotoScan® and MicMac® in Sub-Optimal Survey Conditions M. Jaud et al. https://doi.org/10.3390/rs8060465
9. A Sub-Scene-Based GNSS-Constrained Structure from Motion for Robust Long-Corridor UAV Image Reconstruction W. Huang et al. https://doi.org/10.3390/rs18142321
10. Integration of ground-based markerless photogrammetry for the geocoding of a ground-based SAR observation F. Nurzaman et al. https://doi.org/10.1016/j.isprsjprs.2025.08.007
11. Comparison of pre- and self-calibrated camera calibration models for UAS-derived nadir imagery for a SfM application D. Griffiths & H. Burningham https://doi.org/10.1177/0309133318788964
12. Coastal Dunes Mobility Integration and Characterization: Developing of a Flexible Volume Computing Method B. Guillot et al. https://doi.org/10.4236/jgis.2018.105027
13. A Drone as a Reflector Carrier in Laser Tracker Measurements M. Jankowski et al. https://doi.org/10.2478/msr-2022-0034
14. Corridor Mapping of Sandy Coastal Foredunes with UAS Photogrammetry and Mobile Laser Scanning A. Nahon et al. https://doi.org/10.3390/rs11111352
15. Lightweight UAV with on-board photogrammetry and single-frequency GPS positioning for metrology applications M. Daakir et al. https://doi.org/10.1016/j.isprsjprs.2016.12.007
16. UAV Photogrammetry Accuracy Assessment for Corridor Mapping Based on the Number and Distribution of Ground Control Points E. Ferrer-González et al. https://doi.org/10.3390/rs12152447
17. Accuracy and effectiveness of low cost UASs and open source photogrammetric software for foredunes mapping G. Gonçalves et al. https://doi.org/10.1080/01431161.2018.1446568
18. Drone‐based structure‐from‐motion photogrammetry captures grassland sward height variability J. Forsmoo et al. https://doi.org/10.1111/1365-2664.13148
19. Low-Tech and Low-Cost System for High-Resolution Underwater RTK Photogrammetry in Coastal Shallow Waters M. Jaud et al. https://doi.org/10.3390/rs16010020
20. UAV Data Collection Co-Registration: LiDAR and Photogrammetric Surveys for Coastal Monitoring C. Giordano et al. https://doi.org/10.3390/drones9010049
21. Combining photogrammetric and bathymetric data to build a 3D model of a canal tunnel E. Moisan et al. https://doi.org/10.1111/phor.12379
22. Direct Georeferencing of a Pushbroom, Lightweight Hyperspectral System for Mini-UAV Applications M. Jaud et al. https://doi.org/10.3390/rs10020204