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Elaboration of the 3D Model and Survey of the Power Lines Using Data From Airborne Laser Scanning

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
One of the methods of obtaining highly accurate and current spatial data about the terrain, as well as objects situated on it, is laser scanning. LIDAR (Light Detection and Ranging) is among the most modern, dynamically developing technologies and reveals in surveying new capabilities that have been unachievable in a traditional way so far. The aim of the publication is to show the possibilities of using data from airborne laser scanning to perform the survey and visualization of the energy network, and also identification of hazards which the present network constitutes for the immediate environment using the TerraSolid software package. The survey was conducted for two independent sections of the power line, on the basis of two different clouds of points obtained from the airborne laser scanning. The first one had a density of 16 points/m2, while the other 22 pts/m2. The project was created in an environment of MicroStation V8i software using special overlays – TerraScan and TerraModeler of Finnish TerraSolid Company. The use of the test clouds of different densities was intended to indicate an optimal density of the cloud of points, which allows carrying out a survey and visualization of the energy network based on data derived from airborne laser scanning. The publication presents on particular examples the procedure of vectorization and visualization of the power line and detection of objects within a dangerous distance from it. The possibility of using applied LIDAR data, meeting the industry requirements, to the survey of power lines has been also confirmed.
Słowa kluczowe
Rocznik
Strony
65--74
Opis fizyczny
Bibliogr. 21 poz., tab., rys.
Twórcy
  • Department of Agricultural Land Surveying, Cadaster and Photogrammetry, University of Agriculture in Krakow, ul. Balicka 253 a, 30-198 Kraków, Poland
autor
  • Department of Agricultural Land Surveying, Cadaster and Photogrammetry, University of Agriculture in Krakow, ul. Balicka 253 a, 30-198 Kraków, Poland
Bibliografia
  • 1. Bęcek K., Gawronek P., Klapa P., Kwoczyńska B., Matuła P., Michałowska K., Mikrut S., Mitka B., Piech I., Makuch M., 2015. Modeling and visualization of 3D data based on measurements of photogrammetry and laser scanning (in Polish). WSIE Rzeszów.
  • 2. Bitenc M, Lindenbergh R., Khoshelham K., van Waarden A.P. 2011. Evaluation of A LiDAR Land – Bbased Mobile Mapping System for Monitoring Sandy Coasts. Remote Sensing, 3(7), 1472-1491.
  • 3. Dobek J. 2016. The execution of energy network survey using laser Canning (in Polish). Master‘s thesis. University of Agriculture in Krakow.
  • 4. Figiel M., 2015. Laser scanning, 3D modeling and surveying in industry and construction (in Polish). Modern technologies in industry – Nowoczesne technologie w przemyśle, 1/3a (52), 56-64.
  • 5. Gawronek P. and Mitka B., 2015. The use of terrestrial laser scanning in monitoring of the residential barracks at the site of the former concentration camp Auschwitz II-Birkenau. Geomatics, Landmanagement and Landscape, 3, 53-60, DOI: 10.15576/GLL/2015.3.53.
  • 6. Głowienka E., Jankowicz B., Kwoczyńska B., Kuras P., Michałowska K., Mikrut S., Moskal A., Piech I., Strach M., and Sroka J., 2015. Photogrammetry and the laser scanning in the 3D modeling (in Polish). WSIE Rzeszów.
  • 7. Gola A., 2015. Airborne laser scanning - practical applications (in Polish). Unpublished.
  • 8. Jwa Y., Sohn G., Kim H.B., 2009. Automatic 3d power line reconstruction using airborne lidar data. Int. Arch. Photogramm. Remote Sens, Vol. XXXVIII, Part 3/W8, 105-110.
  • 9. Kim H.B. and Sohn G. 2010. 3D classification of power-line scene from airborne laser scanning data using random forests. IAPRS, Vol. XXXVIII, Part 3A – Saint-Mandé, France, September 1-3, 126-132.
  • 10. Liang J., Zhang J., Deng K., Liu Z., Qunshan S., 2011. A new power-line extraction method based on airborne LiDAR point cloud data”, Image and Data Fusion (ISIDF), International Symposium, 9-11 Aug., IEEE, DOI: 10.1109/ISIDF.2011.6024293.
  • 11. Mądrzyk J., 2015. The energy in the clouds (in Polish). Geodeta, Laser Scanning, 1(245), pp. 22.
  • 12. McLaughlin R.A., 2006. Extracting transmission lines from airborne LIDAR data. Geoscience and Remote Sensing Letters, IEEE, 3(2), 222–226, DOI: 10.1109/LGRS.2005.863390.
  • 13. Melzer T., Briese C., 2004. Extraction and modeling of power lines from ALS point clouds”, Proceeding of 28th Workshop Austrian Association For Pattern Recognition, 17–18 June 2004, Hagenberg, Austria, 47–54.
  • 14. Mikrut S., K. Pyka, and R. Tokarczyk, 2012, „Systems for surveying the railway gauge - an overview and trends (in Polish). Archiwum Fotogrametrii, Kartografii i Teledetekcji, vol. 23, 291–301.
  • 15. Sohn G., Y. Jwa, H.B. Kim 2012. „Automatic power line scene classification and reconstruction using airborne lidar data”, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXII ISPRS Congress, 25 August – 01 September 2012, Vol. I-3, Melbourne, Australia.
  • 16. Soni A., Robson S., and Gleeson B., 2014. Extracting rail track geometry from static terrestrial laser scans for monitoring purposes. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XL-5, 553- 557. DOI: 10.5194/isprsarchives-XL-5-553-2014.
  • 17. Stereńczak K., 2009. Airborne laser scanning (LIDAR) in research for the protection of nature (in Polish). Studia i Materiały Centrum Edukacji Przyrodniczo-Leśnej, R. 11, z. 2 (21).
  • 18. Tarek Z., 2002. Airborne laser scanning of the terrain (in Polish). Geodeta, 12, Warszawa.
  • 19. Zhu L. and J. Hyyppa, 2014. Fully-Automated Power Line Extraction from Airborne Laser Scanning Point Clouds in Forest Areas. Remote Sens. 6, 11267-11282. DOI:10.3390/rs61111267.
  • 20. Appendix 1. Report of the performance of the work - GeoProces company Bureau of Surveying.
  • 21. http://www.3deling.pl/2010/10/inwentaryzacja-laserowa-slupow-elektrycznych/
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fa40342d-3fb5-463f-a39f-da5404920cd1
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