Assessment of photogrammetric mapping accuracy based on variation ground control points number using unmanned aerial vehicle

Agüera-Vega, Francisco; Ramírez, Fernando Carvajal; Martínez-Carricondo, Patricio

doi:10.1016/j.measurement.2016.12.002

Cited by 224 publications

(139 citation statements)

References 27 publications

Supporting

Mentioning

123

Contrasting

Unclassified

Order By: Relevance

“…James and Robson [53] suggest that increasing the number of GCPs beyond the technical minimum provides a more robust solution less sensitive to errors on any point. Additionally, the abovementioned authors suggest the use of a higher number of GCPs [51,52]. Tahar [54] tested GCP configurations very similar to those presented in our study and acquired the best results using 8-9 GCPs.…”

Section: Discussionsupporting

confidence: 71%

“…In contrast to our study, the count of GCPs had a major impact on accuracy. Agüera-Vega et al [51] evaluated 4-20 GCPs and acquired optimal results with 15 GCPs on a 17 ha area using a 120 m flight altitude. In contrast to these results, Goldstein et al [52] evaluated GCPs and reported that increasing the number of GCPs beyond 10 does not increase the DSM accuracy.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Accuracy of Photogrammetric UAV-Based Point Clouds under Conditions of Partially-Open Forest Canopy

Tomaštík

Mokroš

Saloň

et al. 2017

Forests

View full text Add to dashboard Cite

This study focuses on the horizontal and vertical accuracy of point-clouds based on unmanned aerial vehicle (UAV) imagery. The DJI Phantom 3 Professional unmanned aerial vehicle and Agisoft PhotoScan Professional software were used for the evaluation. Three test sites with differing conditions (canopy openness, slope, terrain complexity, etc.) were used for comparison. The accuracy evaluation was aimed on positions of points placed on the ground. This is often disregarded under forest conditions as it is not possible to photogrammetrically reconstruct terrain that is covered by a fully-closed forest canopy. Therefore, such a measurement can only be conducted when there are gaps in the canopy or under leaf-off conditions in the case of deciduous forests. The reported sub-decimetre horizontal accuracy and vertical accuracy lower than 20 cm have proven that the method is applicable for survey, inventory, and various other tasks in forests. An analysis of ground control point (GCP) quantity and configuration showed that the quantity had only a minor effect on the accuracy in cases of plots with~1-hectare area when using the aforementioned software. Therefore, methods increasing quality (precision, accuracy) of GCP positions should be preferred over the increase of quantity alone.

show abstract

Section: Discussionsupporting

confidence: 71%

Section: Discussionmentioning

confidence: 99%

Accuracy of Photogrammetric UAV-Based Point Clouds under Conditions of Partially-Open Forest Canopy

Tomaštík

Mokroš

Saloň

et al. 2017

Forests

View full text Add to dashboard Cite

show abstract

“…Finally, in the third step, a grid DSM can be generated at a specific grid size and the orthophoto is exported at a pre-selected resolution. The bundle adjustment can be carried out using only three GCPs, but it is advisable to use more than three to obtain optimal accuracy [35,41,42,43].…”

Section: Image Processingmentioning

confidence: 99%

Reconstruction of Earth Extreme Topography from UAV Structure from Motion Photogrammetry

Agüera-Vega¹,

Ramírez²,

Martínez-Carricondo³

et al. 2017

Preprint

Self Cite

View full text Add to dashboard Cite

UAV photogrammetry development during the last decade has allowed to catch information at a very high spatial and temporal resolution from terrains with very difficult or impossible human access. This paper deals with the application of these techniques to study and produce information of very extreme topography which is useful to plan works on this terrain or monitoring it over the time to study its evolution. The methodology stars with the execution of UAV flights on the cut slope studied, one with the cam horizontally oriented and other at 45º respect that orientation. Ground control points (GCPs) and check points (CPs) were measured for georeference and accuracy measurement purposes. Orthophoto was obtained projecting on a fitted plane to a studied surface. Moreover, since a digital surface model (DSM) is not able to represent faithfully that extreme morphology, information to project works or monitoring it has been derived from the point cloud generated during the photogrammetric process. An informatics program was developed to generate contour lines and cross sections derived from the point cloud, which was able to represent all terrain geometric characteristics, like several Z coordinates for a given planimetric (X, Y) point. Results yield a root mean square error (RMSE) in X, Y and Z directions of 0.053 m, 0.070 m and 0.061 m respectively. Furthermore, comparison between contour lines and cross sections generated from point cloud with the developed program on one hand and those generated from DSM on other hand, shown that the former are capable of representing terrain geometric characteristics that the latter cannot. The methodology proposed in this work has been shown as an adequate alternative to generate manageable information, as orthophoto, contour lines and cross sections, useful for the elaboration, for example, of projects for repairing or maintenance works of cut slopes with extreme topography.

show abstract

“…Various stakeholders and actors, including governmental authorities, commercial operators, scientific institutions and individuals, make use of UAVs as an affordable data acquisition tool: they enable mapping at temporal and spatial scales that still remain unachievable for traditional remote sensing platforms [3][4][5][6]. The range of distinct applications spreads through various civil applications, including high-resolution surface reconstruction in the geosciences [7][8][9][10], documentation of cultural heritage and archaeological sites [11], agriculture and forest change detection [12][13][14][15][16], support for disaster management [17][18][19], surveying and mapping [20][21][22][23][24][25], land administration [26][27][28][29] and wildlife observation [30,31]. In this context, Pajares [32] delivers a detailed review of the broad spectrum of UAV-based remote sensing applications.…”

Section: Introductionmentioning

confidence: 99%

Review of the Current State of UAV Regulations

et al. 2017

View full text Add to dashboard Cite

UAVs-unmanned aerial vehicles-facilitate data acquisition at temporal and spatial scales that still remain unachievable for traditional remote sensing platforms. However, current legal frameworks that regulate UAVs present significant barriers to research and development. To highlight the importance, impact, and diversity of UAV regulations, this paper provides an exploratory investigation of UAV regulations on the global scale. For this, the methodological approach consists of a research synthesis of UAV regulations, including a thorough literature review and a comparative analysis of national regulatory frameworks. Similarities and contrasting elements in the various national UAV regulations are explored including their statuses from the perspectives of past, present, and future trends. Since the early 2000s, countries have gradually established national legal frameworks. Although all UAV regulations have one common goal-minimizing the risks to other airspace users and to both people and property on the ground-the results reveal distinct variations in all the compared variables. Furthermore, besides the clear presence of legal frameworks, market forces such as industry design standards and reliable information about UAVs as public goods are expected to shape future developments.

show abstract

Assessment of photogrammetric mapping accuracy based on variation ground control points number using unmanned aerial vehicle

Cited by 224 publications

References 27 publications

Accuracy of Photogrammetric UAV-Based Point Clouds under Conditions of Partially-Open Forest Canopy

Accuracy of Photogrammetric UAV-Based Point Clouds under Conditions of Partially-Open Forest Canopy

Reconstruction of Earth Extreme Topography from UAV Structure from Motion Photogrammetry

Review of the Current State of UAV Regulations

Contact Info

Product

Resources

About