Low-Cost Global Navigation Satellite System for Drone Photogrammetry Projects
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-54376-0_28
Reference19 articles.
1. Alevizos, E., Oikonomou, D., Argyriou, A.V., Alexakis, D.D.: Fusion of drone-based RGB and multi-spectral imagery for shallow water bathymetry inversion. Remote Sens. 14, 1127 (2022). https://doi.org/10.3390/rs14051127
2. Carrivick, J.L., Smith, M.W., Quincey, D.J.: Structure from Motion in the Geosciences. Wiley, Hoboken (2016)
3. Drummond, C.D., Harley, M.D., Turner, I.L., Matheen, A.N.A., Glamore, W.C.: UAV Applications to Coastal Engineering, N Z (2015)
4. Ferrer-González, E., Agüera-Vega, F., Carvajal-Ramírez, F., Martínez-Carricondo, P.: UAV photogrammetry accuracy assessment for corridor mapping based on the number and distribution of ground control points. Remote Sens. 12, 2447 (2020). https://doi.org/10.3390/rs12152447
5. Flores-de-Santiago, F., Valderrama-Landeros, L., Rodríguez-Sobreyra, R., Flores-Verdugo, F.: Assessing the effect of flight altitude and overlap on orthoimage generation for UAV estimates of coastal wetlands. J. Coast. Conserv. 24, 35 (2020). https://doi.org/10.1007/s11852-020-00753-9
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