Analysis and Comparison of Lines Obtained from GNSS and UAV for Large-Scale Maps
Publication: Journal of Surveying Engineering
Volume 143, Issue 3
Abstract
Nowadays, obtaining large-scale topographic maps from unmanned aerial vehicle (UAV) photogrammetric projects has become an alternative to traditional surveys based on global positioning systems (GPSs) or total stations. This assumption is based on the reduction of costs, the application to reduced zones, the efficiency of the procedures, and the positional accuracy achieved, etc. In this context, this study analyzes and compares the lines obtained from two sources: a global navigation satellite system–real-time kinematic (GNSS-RTK) survey and an UAV photogrammetric project. Usually, the GNSS data set of lines has a higher positional accuracy, whereas the UAV data set has a richer geometry. The proposed methodology realizes several positional controls (based on lines) to analyze the positional accuracy of the UAV data set of lines and the geometrical representability of the GNSS data set of lines. In addition, an improvement in the representation of lines with poor geometry is suggested by using a hybrid model composed of splines and straight segments. The application is implemented using more than 11 km of lines obtained from both sources. The results confirm the viability of the positional control based on lines, the sufficient accuracy of lines obtained from the UAV to be used for maps at large scales, and the improvement in the representability of the proposed hybrid model.
Get full access to this article
View all available purchase options and get full access to this article.
References
Abbas, I., Grussenmeyer, P., and Hottier, P. (1995). “Contrôle de la planimétrie d’une base de données vectorielle: Une nouvelle méthode basée sur la distance de Hausdorff: La méthode du contrôle linéaire.” Bulletin SFPT, 1(137), 6–11.
ASCE. (1983). Map uses, scales and accuracies for engineering and associated purposes, Committee on Cartographic Surveying, Surveying and Mapping Division, New York.
ASPRS (American Society for Photogrammetry and Remote Sensing). (1990). “ASPRS accuracy standards for large-scale maps.” Photogramm. Eng. Remote. Sens., 56(7), 1068–1070.
Barry, P., and Coakley, R. (2013). “Field accuracy test of RPAS photogrammetry.” Int. Arch. Photogramm., Remote Sens. Spatial Inf. Sci., XL-1/W2, 27–31.
Colomina, I., and Molina, P. (2014). “Unmanned aerial systems for photogrammetry and remote sensing: A review.” ISPRS J. Photogramm. Remote Sens., 92, 79–97.
FGDC (Federal Geographic Data Committee). (1998). “Geospatial positioning accuracy standards. Part 3: National standard for spatial data accuracy.” FGDC-STD-007.3-1998, Reston, VA.
FGDC (Federal Geographic Data Committee). (2002). “Geospatial positioning accuracy standards. Part 4: Standards for architecture, engineering, construction (a/E/C) and facility management.” FGDC-STD-007.4-2002, Reston, VA.
Gonçalves, J. A., and Henriques, R. (2015). “UAV photogrammetry for topographic monitoring of coastal areas.” ISPRS J. Photogramm. Remote Sens., 104, 101–111.
Goodchild, M., and Hunter, G. (1997). “A simple positional accuracy measure for linear features.” Int. J. Geog. Inf. Sci., 11(3), 299–306.
Java [Computer software]. Oracle, Redwood Shores, CA.
Leica Geosystems. (2008). User’s manual of Leica system GPS 1200+ series, Heerbrugg, Switzerland.
Mozas, A. T., and Ariza, F. J. (2010). “Methodology for positional quality control in cartography using linear features.” Cartographic J., 47(4), 371–378.
Mozas, A. T., and Ariza, F. J. (2011). “New method for positional quality control in cartography based on lines. A comparative study of methodologies.” Int. J. Geog. Inf. Sci., 25(10), 1681–1695.
Mozas, A. T., and Ariza, F. J. (2015). “Adapting 2D positional control methodologies based on linear elements to 3D.” Surv. Rev., 47(342), 195–201.
Neitzel, F., and Klonowski, J. (2011). “Mobile 3D mapping with a low-cost UAV system.” Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-1/C22UAV-g, 2011, 38, 1–6.
Nex, F., and Remondino, F. (2014). “UAV for 3D mapping applications: A review.” Appl. Geomatics, 6(1), 1–15.
PhotoScan [Computer software]. Agisoft, St. Petersburg, Russia.
Siebert, S., and Teizer, J. (2014). “Mobile 3D mapping for surveying earthwork projects using an unmanned aerial vehicle (UAV) system.” Autom. Constr., 41, 1–14.
Skidmore, A., and Turner, B. (1992). “Map accuracy assessment using line intersect sampling.” Photogramm. Eng. Remote Sens., 58(10), 1453–1457.
Socet Set 5.6 [Computer software]. Bae Systems, London.
USGS. (1947). United States national map accuracy standards, Reston, VA.
Van Sickle, J. (2008). GPS for land surveyors, CRC, New York.
Information & Authors
Information
Published In
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Apr 18, 2016
Accepted: Sep 29, 2016
Published online: Dec 1, 2016
Discussion open until: May 1, 2017
Published in print: Aug 1, 2017
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.