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
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
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 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.
Conference paper (PDF, 939 KB)


Citation: Küng, O., Strecha, C., Beyeler, A., Zufferey, J.-C., Floreano, D., Fua, P., and Gervaix, F.: THE ACCURACY OF AUTOMATIC PHOTOGRAMMETRIC TECHNIQUES ON ULTRA-LIGHT UAV IMAGERY, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-1/C22, 125-130, https://doi.org/10.5194/isprsarchives-XXXVIII-1-C22-125-2011, 2011.

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