Assessment of photogrammetric mapping accuracy based on variation ground control points number using unmanned aerial vehicle

By F. Agüera-Vega, F. Carvajal-Ramírez, P. Martínez-Carricondo. 2017

279 citations recorded by the source corpus.

Subfields: Environmental Engineering, Geology, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/ad5074353f2740000c1a8a936ef2a909d4493feb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Simon Salon
2. Frantisek Chudý
3. Julián Tomastík
4. Martin Mokros
5. Daniel Tunák

In Geology

1. Simon Salon
2. Frantisek Chudý
3. Julián Tomastík
4. Martin Mokros
5. Daniel Tunák

Citations in the corpus

• Accuracy of Photogrammetric UAV-Based Point Clouds under Conditions of Partially-Open Forest Canopy (2017, methodology): “Additionally, the abovementioned authors suggest the use of a higher number of GCPs [51,52].”
• Accuracy of Unmanned Aerial Vehicle (UAV) and SfM Photogrammetry Survey as a Function of the Number and Location of Ground Control Points Used (2018, background): “Reference [19] found that both horizontal and vertical accuracy improves as the number of GCP increases.”