The Accuracy of Automatic Photogrammetric Techniques on Ultra-Light Uav Imagery

Küng, Olivier; Strecha, Christoph; Beyeler, Antoine; Zufferey, Jean-Christophe; Floreano, Dario; Fua, Pascal; Gervaix, François

doi:10.5194/isprsarchives-xxxviii-1-c22-125-2011

Cited by 138 publications

(123 citation statements)

References 12 publications

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“…It now offers an affordable access to precise aerial mapping (Fraser, 2015). According to (Küng, 2011), the developments of UAVs in recent years along with the improvements in Structure from Motion (SFM) software and computer vision enhanced the production of photogrammetry. They made it accessible with centimetrical precision even with bad positioning systems onboard the aircraft.…”

Section: Unmanned Aerial Vehicle (Uav)mentioning

confidence: 99%

Uav Photogrammetry Implementation to Enhance Land Surveying, Comparisons and Possibilities

Meouche

Hijazi

Poncet

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Commission VI, WG VI/4KEY WORDS: Land Surveying, UAV, Photogrammetry, Point Cloud, 3D Model. ABSTRACT:The use of Unmanned Aerial Vehicles (UAVs) for surveying is now widespread and operational for several applications -quarry monitoring, archeological site surveys, forest management and 3D modeling for buildings, for instance. UAV is increasingly used by land surveyors especially for those kinds of projects. It is still ambiguous whether UAV can be applicable for smaller sites and property division. Therefore, the objective of this research is to extract a vectorized plan utilizing a UAV for a small site and investigate the possibility of an official land surveyor exploiting and certificating it. To do that, two plans were created, one using a UAV and another utilizing classical land surveyor instruments (Total Station). A comparison was conducted between the two plans to evaluate the accuracy of the UAV technique compared to the classical one. Moreover, other parameters were also considered such as execution time and the surface covered. The main problems associated with using a UAV are the level of precision and the visualization of the whole area. The results indicated that the precision is quite satisfactory with a maximum error of 1.0 cm on ground control points, and 4 cm for the rest of the model. On the other hand, the results showed that it is not possible to represent the whole area of interest utilizing a UAV, due to vegetation.

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Section: Unmanned Aerial Vehicle (Uav)mentioning

confidence: 99%

Uav Photogrammetry Implementation to Enhance Land Surveying, Comparisons and Possibilities

Meouche

Hijazi

Poncet

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

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“…The use of UAVs for 3D reconstruction and point cloud generation via aerial imagery has been considered in the past, particularly in recent years [5][6][7][8][9][38][39][40][41]. These studies usually focused on assessing the accuracy of similar techniques, however, this manuscript presents the first attempt to quantify the accuracy of the whole UAV-MVS close-range data capture and georeferencing process applied to a natural landscape based on a comparison with Total Station survey data.…”

Section: Uavs For 3d Reconstruction Of Natural Landscapesmentioning

confidence: 99%

Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery

2012

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Sensor miniaturisation, improved battery technology and the availability of low-cost yet advanced Unmanned Aerial Vehicles (UAV) have provided new opportunities for environmental remote sensing. The UAV provides a platform for close-range aerial photography. Detailed imagery captured from micro-UAV can produce dense point clouds using multi-view stereopsis (MVS) techniques combining photogrammetry and computer vision. This study applies MVS techniques to imagery acquired from a multi-rotor micro-UAV of a natural coastal site in southeastern Tasmania, Australia. A very dense point cloud (<1-3 cm point spacing) is produced in an arbitrary coordinate system using full resolution imagery, whereas other studies usually downsample the original imagery. The point cloud is sparse in areas of complex vegetation and where surfaces have a homogeneous texture. Ground control points collected with Differential Global Positioning System (DGPS) are identified and used for georeferencing via a Helmert transformation. This study compared georeferenced point clouds to a Total Station survey in order to assess and quantify their geometric accuracy. The results indicate that a georeferenced point cloud accurate to 25-40 mm can be obtained from imagery acquired from ∼50 m. UAV-based image capture provides the spatial and temporal resolution required to map and monitor natural landscapes. This paper assesses the accuracy of the generated point clouds based on field survey points. Based on our key findings we conclude that sub-decimetre terrain change (in this case coastal erosion) can be monitored.Remote Sens. 2012, 4 1574

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“…A SLR (Single Lens Reflex) camera was utilised because its accuracy is influenced significantly by resolution (Kung et al, 2011 Figure 1 shows the test site utilised in this study. The figure also shows the arrangement of the 58 CPs (each with a diameter of 20 cm) used in this case.…”

Section: Uav and Cameramentioning

confidence: 99%

Performance Evaluation of 3d Modeling Software for Uav Photogrammetry

Yanagi

Chikatsu

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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UAV (Unmanned Aerial Vehicle) photogrammetry, which combines UAV and freely available internet-based 3D modeling software, is widely used as a low-cost and user-friendly photogrammetry technique in the fields such as remote sensing and geosciences. In UAV photogrammetry, only the platform used in conventional aerial photogrammetry is changed. Consequently, 3D modeling software contributes significantly to its expansion. However, the algorithms of the 3D modelling software are black box algorithms. As a result, only a few studies have been able to evaluate their accuracy using 3D coordinate check points. With this motive, Smart3DCapture and Pix4Dmapper were downloaded from the Internet and commercial software PhotoScan was also employed; investigations were performed in this paper using check points and images obtained from UAV.

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The Accuracy of Automatic Photogrammetric Techniques on Ultra-Light Uav Imagery

Cited by 138 publications

References 12 publications

Uav Photogrammetry Implementation to Enhance Land Surveying, Comparisons and Possibilities

Uav Photogrammetry Implementation to Enhance Land Surveying, Comparisons and Possibilities

Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery

Performance Evaluation of 3d Modeling Software for Uav Photogrammetry

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