Scopus
🔓 Açık Erişim YÖKSİS Eşleşti
Improving the Spatial Accuracy of UAV Platforms Using Direct Georeferencing Methods: An Application for Steep Slopes
Remote Sensing · Mayıs 2023
YÖKSİS Kayıtları
Improving the Spatial Accuracy of UAV Platforms Using Direct Georeferencing Methods: An Application for Steep Slopes
Remote Sensing · 2023 SCI-Expanded
DOÇENT MUSTAFA ZEYBEK →
Makale Bilgileri
DergiRemote Sensing
Yayın TarihiMayıs 2023
Cilt / Sayfa15
Scopus ID2-s2.0-85160643517
Erişim🔓 Açık Erişim
Özet
The spatial accuracy of unmanned aerial vehicles (UAVs) and the images they capture play a crucial role in the mapping process. Researchers are exploring solutions that use image-based techniques such as structure from motion (SfM) to produce topographic maps using UAVs while accessing locations with extremely high accuracy and minimal surface measurements. Advancements in technology have enabled real-time kinematic (RTK) to increase positional accuracy to 1–3 times the ground sampling distance (GSD). This paper focuses on post-processing kinematic (PPK) of positional accuracy to achieve a GSD or better. To achieve this, precise satellite orbits, clock information, and UAV global navigation satellite system observation files are utilized to calculate the camera positions with the highest positional accuracy. RTK/PPK analysis is conducted to improve the positional accuracies obtained from different flight patterns and altitudes. Data are collected at altitudes of 80 and 120 meters, resulting in GSD values of 1.87 cm/px and 3.12 cm/px, respectively. The evaluation of ground checkpoints using the proposed PPK methodology with one ground control point demonstrated root mean square error values of 2.3 cm (horizontal, nadiral) and 2.4 cm (vertical, nadiral) at an altitude of 80 m, and 1.4 cm (horizontal, oblique) and 3.2 cm (vertical, terrain-following) at an altitude of 120 m. These results suggest that the proposed methodology can achieve high positional accuracy for UAV image georeferencing. The main contribution of this paper is to evaluate the PPK approach to achieve high positional accuracy with unmanned aerial vehicles and assess the effect of different flight patterns and altitudes on the accuracy of the resulting topographic maps.
Yazarlar (4)
1
Mustafa Zeybek
ORCID: 0000-0001-8640-1443
2
Selim Taşkaya
ORCID: 0000-0002-4290-3684
3
Ismail Elkhrachy
ORCID: 0000-0001-9766-779X
4
Paolo Tarolli
ORCID: 0000-0003-0043-5226
Anahtar Kelimeler
accuracy assessment
checkpoint
direct georeferencing
GNSS
ground control point
PPK
RTK
UAV
Kurumlar
Artvin Coruh University, Turkey
Artvin Turkey
Najran University
Najran Saudi Arabia
Selçuk Üniversitesi
Selçuklu Turkey
Università degli Studi di Padova
Padua Italy
Metrikler
7
Atıf
4
Yazar
8
Anahtar Kelime