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Accuracy assessment of direct georeferencing UAV images with onboard global navigation satellite system and comparison of CORS/RTK surveying methods

Measurement Science and Technology · Haziran 2021

Özet
Inexpensive and small unmanned aerial vehicles (UAVs) provide high-accuracy positional data and enable users to collect high-resolution aerial images. The analysis of images captured using UAVs in a specific reference system is traditionally accomplished using the georeferencing method with high-accuracy ground control points (GCPs). This study aims to test and compare the benchmarks and point clouds' positional accuracy produced on three consecutive days with different flight combinations at 75 and 100 m flight altitude by means of network-based continuously operating reference stations and differential-based real-time kinematic georeferencing systems without using GCPs. A root mean squared error values were obtained 1-3 cm for the horizontal accuracy and 4-6 cm for the vertical accuracy values. Thus, the proposed system proved an acceptable positional accuracy level. According to the results of the proposed approach, it can be said that the evaluation and use of UAV data without using GCPs is within an adequate range for various mapping purposes.
60 atıf Haziran 2021 DOI
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YÖKSİS Kayıtları
Accuracy assessment of direct georeferencing UAV images with onboard global navigation satellite system and comparison of CORS/RTK surveying methods
Measurement Science and Technology · 2021 SCI-Expanded
Doç. Dr. MUSTAFA ZEYBEK →
YÖKSİS Kayıtları — ISSN Eşleşmesi
Bu dergide (ISSN eşleşmesi) kurumun 2 kaydı bulundu.
Road surface and inventory extraction from mobile LiDAR point cloud using iterative piecewise linear model
2023 ISSN: 0957-0233 SCI-Expanded Q3
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Integrating advanced remote sensing technologies and machine learning in urban forestry: a comprehensive review and future outlook
2025 ISSN: 0957-0233 SCI-Expanded Q1
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Makale Bilgileri

Toplam Atıf 60 atıf · Scopus
ISSN09570233
Yayın TarihiHaziran 2021
Cilt / Sayfa32

Kurumlar

Artvin Coruh University
Artvin Turkey
Selçuk Üniversitesi
Selçuklu Turkey

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Bu makaleye, sistemimizdeki Scopus veritabanında bulunan 0 makale atıf yapmıştır. Scopus genel atıf sayısı: 60.

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Scimago Dergi (ISSN Eşleşmesi)
Measurement Science and Technology
Q2
SJR Skoru0,582
H-Index165
YayıncıIOP Publishing Ltd.
ÜlkeUnited Kingdom
Applied Mathematics (Q2)
Engineering (miscellaneous) (Q2)
Instrumentation (Q2)
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Metrikler

60
Atıf

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