The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XXXVIII-1/C22
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-1/C22, 125–130, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-1-C22-125-2011
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-1/C22, 125–130, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-1-C22-125-2011

  06 Sep 2012

06 Sep 2012

THE ACCURACY OF AUTOMATIC PHOTOGRAMMETRIC TECHNIQUES ON ULTRA-LIGHT UAV IMAGERY

O. Küng2,1, C. Strecha2,1, A. Beyeler3, J.-C. Zufferey3,4, D. Floreano4, P. Fua2,1, and F. Gervaix5,6 O. Küng et al.
  • 1EPFL-CVlab, CH-1015 Lausanne Switzerland
  • 2Pix4D LLC, Bundesamt für Landestopographie 3084 Wabern, Switzerland
  • 3senseFly LLC,Ch. de la Venoge 11 Z.I. Vallaire Ouest D 1024 Ecublens Switzerland
  • 4EPFL-LIS,Station 11 CH-1015 Lausanne, Switzerland
  • 5heig-vd Yverdon, Avenue des Sports 20 1400 Yverdon-les-Bains, Switzerland
  • 6R-Pod, Switzerland

Keywords: Ultra-light UAV, mini-drone, photogrammetry, orthomosaic, DEM, automated georeferencing, aerial triangulation

Abstract. This paper presents an affordable, fully automated and accurate mapping solutions based on ultra-light UAV imagery. Several datasets are analysed and their accuracy is estimated. We show that the accuracy highly depends on the ground resolution (flying height) of the input imagery. When chosen appropriately this mapping solution can compete with traditional mapping solutions that capture fewer high-resolution images from airplanes and that rely on highly accurate orientation and positioning sensors on board. Due to the careful integration with recent computer vision techniques, the post processing is robust and fully automatic and can deal with inaccurate position and orientation information which are typically problematic with traditional techniques.