Extraction of Building Footprints from Different Unmanned Aerial Vehicle (UAV) Platforms

  • Authors

    • Nabila Ismail
    • Khairul Nizam Tahar
    2018-11-30
    https://doi.org/10.14419/ijet.v7i4.25.22249
  • Unmanned, Footprint, Assessment, Area, Length
  • The demand for map updating is increasing especially for developing countries. Therefore, rapid data acquisition of an urban area is needed. This study proposes unmanned platform as one of the solutions for rapid data acquisition to update the map for developing countries. The objective of this study is to perform the extraction of building footprints using fixed-wing unmanned aerial vehicle (UAV) and multi-rotor UAV. All images acquired from both UAVs were processed using different image matching algorithms to perform relative orientation. The building footprints were extracted based on different orthophoto results. The building footprints were evaluated in terms of area and length. The results show the area based matching method records the accurate result in term of area and length assessment which are about 13m2 and 1.4m respectively. The results also show the multirotor provides the accurate results compared to fixed wing platform. The outcome could be used for specific applications such as urban expansion changes and land cover change detection.

     

     

  • References

    1. [1] Abu Hanipah, A.F.F & Tahar, K.N.: Development of the 3D dome model based on a terrestrial laser scanner. International Journal of Building Pathology and Adaptation, 36: 2, 122-136, 2018.

      [2] Asahari, M.N. & Tahar, K.N.: Building Footprint Assessment Based on Onboard Global Positioning System and Ground Control Points. Advanced Science Letters, 23: 5, 3849-3853(5), 2017.

      [3] Agius, C., & Brearley, J.: Can Building Footprint Extraction from LiDAR be used Productively in a Topographic Mapping Context? In Future Preparedness: Thematic and Spatial Issues for the Enviroment and Sustainability, 60-73, 2014.

      [4] Burdeos, M. D., Makinan-Santillan, M., & Amora, A.: Automated Building Footprints Extraction from DTM and DSM in ArcGIS. MDA Burdeos, 2015.

      [5] Dahiya, S., Garg, P.K., & Mahesh, K.J.: Building Extraction from High Resolution Satellite Images. ECHNIA – International Journal of Computing Science and Communication Technologies, VOL.5 NO. 2, Jan. 2013 (ISSN 0974-3375), 829-834.

      [6] Davydova, K., Cui, S., & Reinartz, P.: Building Footprint Extraction from Digital Surface Neural Networks. German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF),. Oberpfaffenhofen,Germany., 2016.

      [7] Delgado, F.S., Carvalho, J.P., Coelho, T.V.N. & Dos Santos, A.B.: An Optical Fiber Sensor and Its Application in UAVs for Current Measurements. Sensors, 16, 1800, 2016.

      [8] Grenzdörfer, G., Guretzki, M. & Friedlander, I.: Photogrammetric image acquisition and image analysis of oblique imagery. The Photogrammetric Record, 23 (124), 372-368, 2008.

      [9] Jabari, S., Fathollahi, F., Roshan, A., Zhang, Y.: Improving UAV imaging quality by optical sensor fusion: an initial study. International Journal of Remote Sensing, 38:17, 4931-4953, 2017.

      [10] Junaid, A., Lee, Y. & Kim, Y.: Design and implementation of autonomous wireless charging station for rotary-wing UAVs. Aerospace Science and Technology, 2-14, 2015.

      [11] Martinez, S., Ortiz, J. & Gil, M. L.: Geometric documentation of historical pavements using automated digital photogrammetry and high-density reconstruction algorithm. Journal of Archaeological Science, 1-11, 2015.

      [12] Meena, Y. & Mittal, A.: Blobs & Crack Detection on Plain Ceramic Tile Surface. International Journal of Advanced Research in Computer Science & Software Engineering, 3, 2013.

      [13] Tahar, K. N.: Multi Rotor UAV at Different Altitudes for Slope Mapping Studies. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-1/W4, 2015, (pp. 9-16). Toronto, Canada, 2015.

      [14] Wei, W., Xu, Q. & Wang, L.: GI/Geom/1 queue based on communication model for mesh networks [J]. International Journal of Communication Systems. 27, 11, 2014.

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  • How to Cite

    Ismail, N., & Nizam Tahar, K. (2018). Extraction of Building Footprints from Different Unmanned Aerial Vehicle (UAV) Platforms. International Journal of Engineering & Technology, 7(4.25), 67-71. https://doi.org/10.14419/ijet.v7i4.25.22249