Performance evaluation of UAV photogrammetric 3D reconstruction

Esposito, Salvatore; Fallavollitaa, Paolo; Wahbeh, Wissam; Nardinocchi, Carla; Balsia, Marco

doi:10.1109/igarss.2014.6947565

Cited by 15 publications

(8 citation statements)

References 2 publications

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“…On various scales (from hand specimen to aerial imagery photographed by DSLR cameras) James and Robson (2012) achieved a precision rate exceeding 1:1000. Assuming the flight height of 25 meters as the measurement distance (to model a building using DSLR cameras), Esposito et al (2014) have measured a precision rate of 1:250 on the entire model and achieved better precision than 1:500 locally. Using the lightweight UAV and 5 mm fixed focal length camera in our case, we have achieved a precision rate exceeding 3:100 for the entire model and 1:100 locally (Figure 7).…”

Section: Discussionmentioning

confidence: 99%

3D Multi-view Stereo Modelling of an Open Mine Pit Using a Lightweight UAV

Ulusoy¹,

Şen²,

Tuncer³

et al. 2017

Türkiye Jeoloji Bülteni / Geological Bulletin of Turkey

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Digital elevation models have been evolved in decades, their resolution and accuracy have improved vividly. Geological, structural and geomorphological benefits of those high-quality digital elevation models enhanced the quality of the research and engineering and unfold the visibility of the data. Modern techniques such as laser scanners provide a quantum leap on digital modelling, however the cost of those methods limits their widespread usage. Improvements in stereo-photogrammetry did not decelerate. On the contrary, the evolution of Structure from Motion-Multi-view stereo-photogrammetry (SfM-MVS) method is accelerated by the continuous developments in digital photography and computer vision technologies. We have used a lightweight drone to acquire digital aerial photographs of an open mine pit for an ultimate purpose of modelling the terrain using SfM-MVS procedure. We have been able to derive a high resolution (0.3 m/pixel) DEM and a very high resolution (0.04 m/pixel) orthorectified aerial image. Both datasets are representing the topography with high sample point densities. Elevation model dataset has been compared with the regular topographic point measurements of the mine pit and the accuracy of the aerially derived model have been investigated. Sources of modelling errors, the effect of temporal physical changes in the terrain, effect and importance of geo-referencing have been discussed in detail. SfM-MVS is a cost-effective, rapid and promising technique for digital mapping, modelling and monitoring in various spatial scales of Geology.

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Section: Discussionmentioning

confidence: 99%

3D Multi-view Stereo Modelling of an Open Mine Pit Using a Lightweight UAV

Ulusoy¹,

Şen²,

Tuncer³

et al. 2017

Türkiye Jeoloji Bülteni / Geological Bulletin of Turkey

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“…However, a large number of GCPs (11) were used to maximize the accuracy results, which is more than desired by most practitioners, especially for a study area with simple geometry. Espositoa et al [46] evaluated the performance between a sUAS derived point cloud and TLS for 3D reconstruction of a building. In their study, they were able to achieve a global accuracy of 0.10 m and better than 0.05 m for local measurements.…”

Section: Introductionmentioning

confidence: 99%

Comparing sUAS Photogrammetrically-Derived Point Clouds with GNSS Measurements and Terrestrial Laser Scanning for Topographic Mapping

Mora

Suleiman

Chen

et al. 2019

Drones

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Interest in small unmanned aircraft systems (sUAS) for topographic mapping has significantly grown in recent years, driven in part by technological advancements that have made it possible to survey small- to medium-sized areas quickly and at low cost using sUAS aerial photography and digital photogrammetry. Although this approach can produce dense point clouds of topographic measurements, they have not been tested extensively to provide insights on accuracy levels for topographic mapping. This case study examines the accuracy of a sUAS-derived point cloud of a parking lot located at the Citizens Bank Arena (CBA) in Ontario, California, by comparing it to ground control points (GCPs) measured using global navigation satellite system (GNSS) data corrected with real-time kinematic (RTK) and to data from a terrestrial laser scanning (TLS) survey. We intentionally chose a flat surface due to the prevalence of flat scenes in sUAS mapping and the challenges they pose for accurately deriving vertical measurements. When the GNSS-RTK survey was compared to the sUAS point cloud, the residuals were found to be on average 18 mm and −20 mm for the horizontal and vertical components. Furthermore, when the sUAS point cloud was compared to the TLS point cloud, the average difference observed in the vertical component was 2 mm with a standard deviation of 31 mm. These results indicate that sUAS imagery can produce point clouds comparable to traditional topographic mapping methods and support other studies showing that sUAS photogrammetry provides a cost-effective, safe, efficient, and accurate solution for topographic mapping.

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“…Results are presented for a mock inspection of a nuclear intermediate level waste (ILW) storage drum chosen for its convenient size, which enabled laboratory based research, and relevance to industrial partners (National Nuclear Laboratory). Visual structural inspection, using UAVs, has seen interest in the literature through its application to the inside and outside of buildings, for example [1,2,3], industrial facilities [4,5,6], landscapes/agriculture and archaeological sites [7,8,9]. The current state-of-the-art for UAV motion control has not progressed far beyond the use of waypoints in conjunction with position tracking, such as Global Positioning System (GPS), to autonomously travel to desired points in a set sequence.…”

Section: Introductionmentioning

confidence: 99%