Joint use of UAV technologies and terrestrial laser scanning for creation of object-oriented virtual models

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About the Authors

Ilya A. Rylskiy

Lomonosov Moscow State University,
Leninskie Gory, 1, 119991, Moscow, Russia,

Dmitriy A. Paramonov

Lomonosov Moscow State University,
Leninskie Gory, 1, 119991, Moscow, Russia,

Marina S. Malevannaya

Lomonosov Moscow State University,
Leninskie Gory, 1, 119991, Moscow, Russia,


Virtual modeling of cities is very demanded task now. Though the technologies developed greatly during last years, there are a lot of difficulties and many different approaches for achieving goals. In nowadays there are different new technologies, that offer great flexibility and enormous volumes of spatial data—UAV imagery, satellite imagery, laser scanning, GNSS, etc. Our team is focused on development of virtual city model production using following approaches: the virtual model should be organized as a stand-alone software solution; following spatial data sources should be used:

  • UAV making nadir and oblique imagery for getting textures, production of orthomosaics and building 3D surfaces;
  • terrestrial laser scanning—for small, but important objects, big vertical constructions and rough terrain;
  • GNSS measurements are performed during surveys (using base stations and kinematic measurements) and after them (ground control points, check points, etc.)
Buildings and constructions are treated as separated objects linked to the database (address, coordinates, geocoding, points of interest, etc.) and hyperlinks (documents, floor plans, charts, additional models, images, scans, etc.). All artificial objects (buildings, constructions) are OBJ files (low-polygonal geometry built semy-automatic using survey data with artificially controlled edges and faces, no MESH allowed) and are mapped automatically using nadir and oblique imagery. Terrestrial laser scanning data (georeferenced point cloud) is used as a source of ground control points for UAV data, for modeling very complex facilities and for mapping complex city landscape where a lot of poles, wires and metal constructions can occur. All information is georeferenced with high accuracy, equal to 1:200–1:500 scale.

These approaches allow us to eliminate the disadvantages of different mapping methods, getting better results with less efforts.


object-oriented virtual model, terrestrial laser scanning, lidar, aerial imagery, oblique images, UAV, GIS, 3D objects, cartography, sustainable development.


  1. Allen P.K., Stamos I., Troccoli A., Smith B., Leordeanu M., Hsu Y.C. 3D modeling of historic sites using range and image data. Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 14–19 Sept. 2003, Taipei, Taiwan. IEEE, 2003. V. 1. P. 145–150. DOI: 10.1109/robot.2003.1241587.
  2. Chen Q. Airborne lidar data processing and information extraction. Photogrammetric Engineering & Remote Sensing, 2007. V. 73. No 2. P. 109–112.
  3. Haala N., Brenner C., Anders K.-H. 3D urban GIS from laser altimeter and 2D map data. International Archives of Photogrammetry and Remote Sensing, 1998. V. 32. Part 3 (1). Р. 339–346.
  4. Kapralov E.G., Koshkaryov A.V., Tikunov V.S. Basics of Geoinformatics. Мoscow: Academy, 2004. 480 p. (in Russian).
  5. Lohr U. Digital elevation models by laserscanning: Principle and applications. Third International Airborne Remote Sensing Conference and Exhibition, Copenhagen, Denmark, 1997. V. I. P. 174–180.
  6. Malevannaya M.S., Rylskiy I.A. Terrestrial laser scanning methods – new approaches to information provision of geographic researches. Geodesy and cartography, 2014. V. 5. No 4. P. 23–34 (in Russian).
  7. Schwalbe E., Maas H., Seidel F. 3D building model generation from airborne laser scanner data using 2D GIS data and orthogonal point cloud projections. Proceedings of the International Society for Photogrammetry and Remote Sensing. Workshop Laser scanning, Enschede, The Netherlands, 2005. WG III/3, III/4. V. 3. P. 12–14.
  8. Tikunov V.S., Rylskiy I.A. Perspectives of using airborne laser scanning systems for forest mapping. News of the Irkutsk State University. Earth Science Series, 2016. V. 15. No 2073–3402. P. 104–113 (in Russian).
  9. Vosselman G., Dijkman S. 3D building model reconstruction from point clouds and ground plans. International archives of photogrammetry, remote sensing and spatial information sciences. Canada: Natural resources, 2001. V. 34. No 3/W4. P. 37–44.
  10. Vosselman G., Suveg I. Map based building reconstruction from laser data and References 109 images. Proceedings of Automatic Extraction of Man-Made Objects from Aerial and Space Images. V. III. Centro Stefano Franscini, Monte Verit, Ascona: A.A. Balkema Publishers, 2001. P. 231–239.
  11. Zhang C., Chen T. Efficient feature extraction for 2D/3D objects in mesh representation. Proceedings of the 2001 International Conference on Image Processing (ICIP). Thessaloniki, Greece, 2001. V. 3. P. 935–938.

For citation: Rylskiy I.A., Paramonov D.A., Malevannaya M.S. Joint use of UAV technologies and terrestrial laser scanning for creation of object-oriented virtual models InterCarto. InterGIS. GI support of sustainable development of territories: Proceedings of the International conference. Moscow: Moscow University Press, 2019. V. 25. Part 1. P. 398–413. DOI: 10.35595/2414-9179-2019-1-25-398-413