The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Assessment of UAV-photogrammetric mapping accuracy based on variation of ground control points
Abstract
Abstract Civil engineering uses digital elevation models (DEMs) and orthophotos as basic material to be able to design and execute any project. UAV photogrammetry has made it possible to obtain this type of information in an economic and practical way. However, it is necessary to know the accuracy of the data and that it is within the admissible limits. There are many factors that affect the accuracy of products resulting from UAV photogrammetry. Of all of these, the effect of the number of ground control points (GCPs) and their distribution in the study area are especially significant. Different distributions of GCPs have been studied to try to optimize the products obtained by UAV photogrammetry. Of all the distributions tested, the best results were obtained with edge distribution and stratified distribution. Therefore, it is necessary to place GCPs around the edge of the study area to minimize planimetry errors. In addition, it is advisable to create a stratified distribution inside the study area with a density of around 0.5–1 GCP × ha−1 to minimize altimetry errors. The combination of these two distributions minimizes the total error obtained.
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Cites
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Metadata
- Authors
- Martínez-Carricondo, P., Agüera-Vega, F., Carvajal-Ramírez, F., Mesas-Carrascosa, F.-J., García-Ferrer, A., & Pérez-Porras, F.-J.
- Venue
- International Journal of Applied Earth Observation and Geoinformation
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 72
- Pages
- 1-10
- ISSN
- 0303-2434 (ISSN-L)
- 1569-8432
- OpenAlex
- W2807083473
- Cited by
- 313
- References
- 34
- FWCI
- 37.23
- Type
- journal article
- Language
- en
- Open access
- closed
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- Martínez-Carricondo, P., Agüera-Vega, F., Carvajal-Ramírez, F., Mesas-Carrascosa, F.-J., García-Ferrer, A., & Pérez-Porras, F.-J. (2018). Assessment of UAV-photogrammetric mapping accuracy based on variation of ground control points. International Journal of Applied Earth Observation and Geoinformation. https://doi.org/10.1016/j.jag.2018.05.015
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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