Accuracy assessment of real-time kinematics (RTK) measurements on unmanned aerial vehicles (UAV) for direct geo-referencing. Issue 2 (2nd April 2020)
- Record Type:
- Journal Article
- Title:
- Accuracy assessment of real-time kinematics (RTK) measurements on unmanned aerial vehicles (UAV) for direct geo-referencing. Issue 2 (2nd April 2020)
- Main Title:
- Accuracy assessment of real-time kinematics (RTK) measurements on unmanned aerial vehicles (UAV) for direct geo-referencing
- Authors:
- Ekaso, Desta
Nex, Francesco
Kerle, Norman - Abstract:
- ABSTRACT: Geospatial information acquired with Unmanned Aerial Vehicles (UAV) provides valuable decision-making support in many different domains, and technological advances coincide with a demand for ever more sophisticated data products. One consequence is a research and development focus on more accurately referenced images and derivatives, which has long been a weakness especially of low to medium cost UAV systems equipped with relatively inexpensive inertial measurement unit (IMU) and Global Navigation Satellite System (GNSS) receivers. This research evaluates the positional accuracy of the real-time kinematics (RTK) GNSS on the DJI Matrice 600 Pro, one of the first available and widely used UAVs with potentially surveying-grade performance. Although a very high positional accuracy of the drone itself of 2 to 3 cm is claimed by DJI, the actual accuracy of the drone RTK for positioning the images and for using it for mapping purposes without additional ground control is not known. To begin with, the actual GNSS RTK position of reference center (the physical point on the antenna) on the drone is not indicated, and uncertainty regarding this also exists among the professional user community. In this study the reference center was determined through a set of experiments using the dual frequency static Leica GNSS with RTK capability. The RTK positioning data from the drone were then used for direct georeferencing, and its results were evaluated. Test flights were carried outABSTRACT: Geospatial information acquired with Unmanned Aerial Vehicles (UAV) provides valuable decision-making support in many different domains, and technological advances coincide with a demand for ever more sophisticated data products. One consequence is a research and development focus on more accurately referenced images and derivatives, which has long been a weakness especially of low to medium cost UAV systems equipped with relatively inexpensive inertial measurement unit (IMU) and Global Navigation Satellite System (GNSS) receivers. This research evaluates the positional accuracy of the real-time kinematics (RTK) GNSS on the DJI Matrice 600 Pro, one of the first available and widely used UAVs with potentially surveying-grade performance. Although a very high positional accuracy of the drone itself of 2 to 3 cm is claimed by DJI, the actual accuracy of the drone RTK for positioning the images and for using it for mapping purposes without additional ground control is not known. To begin with, the actual GNSS RTK position of reference center (the physical point on the antenna) on the drone is not indicated, and uncertainty regarding this also exists among the professional user community. In this study the reference center was determined through a set of experiments using the dual frequency static Leica GNSS with RTK capability. The RTK positioning data from the drone were then used for direct georeferencing, and its results were evaluated. Test flights were carried out over a 70 x 70 m area with an altitude of 40 m above the ground, with a ground sampling distance of 1.3 cm. Evaluated against ground control points, the planimetric accuracy of direct georeferencing for the photogrammetric product ranged between 30 and 60 cm. Analysis of direct georeferencing results showed a time delay of up to 0.28 seconds between the drone GNSS RTK and camera image acquisition affecting direct georeferencing results. … (more)
- Is Part Of:
- Geo-spatial information science. Volume 23:Issue 2(2020)
- Journal:
- Geo-spatial information science
- Issue:
- Volume 23:Issue 2(2020)
- Issue Display:
- Volume 23, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 23
- Issue:
- 2
- Issue Sort Value:
- 2020-0023-0002-0000
- Page Start:
- 165
- Page End:
- 181
- Publication Date:
- 2020-04-02
- Subjects:
- UAV -- GNSS RTK -- direct georeferencing -- aerial triangulation -- lever arm offset
Geographic information systems -- Periodicals
Cartography -- Data processing -- Periodicals
Surveying -- Data processing -- Periodicals
Remote sensing -- Periodicals
526.0285 - Journal URLs:
- http://www.springerlink.com/content/120480/ ↗
http://www.tandfonline.com/loi/tgsi20#.Vh45TZWFOig ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/10095020.2019.1710437 ↗
- Languages:
- English
- ISSNs:
- 1009-5020
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4158.896405
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British Library HMNTS - ELD Digital store - Ingest File:
- 22768.xml