Manual geo-rectification to improve the spatial accuracy of ortho-mosaics based on images from consumer-grade unmanned aerial vehicles (UAVs)

Author:

Azim Saiful,Rasmussen JesperORCID,Nielsen Jon,Gislum René,Laursen Morten Stigaard,Christensen SvendORCID

Funder

Innovationsfonden

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences

Reference36 articles.

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2. Baumker, M., Przybilla, H.-J., & Zurhorst, A. (2013). Enhancements in UAV flight control and sensor orientation. In Proceedings of Conference on Unmanned Aerial Vehicles in Geomatics. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Vol. XL-1/W2, pp. 33–38. https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W2/33/2013/isprsarchives-XL-1-W2-33-2013.pdf (Last accessed March 04, 2019).

3. Benassi, F., Dall’Asta, E., Diotri, F., Forlani, G., Di Cella, U. M., Roncella, R., et al. (2017). Testing accuracy and repeatability of UAV blocks oriented with GNSS-supported aerial triangulation. Remote Sensing, 9, 172. https://doi.org/10.3390/rs9020172 .

4. Bui, D.T., Long, N.Q., Bui. X.N., Nguyen, V.N., Pham, C.V., & Le, C.V. (2017). Lightweight unmanned aerial vehicle and structure-from-motion photogrammetry for generating digital surface model for open-pit coal mine area and its accuracy assessment. In Proceedings of International Conference on Geo-Spatial Technologies and Earth Resources. (pp. 17–33). Cham, Switzerland: Springer Nature.

5. Burgner, S. (2009). Precision farming glossary. https://cereals.ahdb.org.uk/media/185207/pf_gls1-precision_farming_glossary_2009.pdf (Last accessed November 28, 2018).

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