Volume XL-3/W3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W3, 327-333, 2015
https://doi.org/10.5194/isprsarchives-XL-3-W3-327-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W3, 327-333, 2015
https://doi.org/10.5194/isprsarchives-XL-3-W3-327-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

  19 Aug 2015

19 Aug 2015

UAV LINEAR PHOTOGRAMMETRY

V. Tournadre1, M. Pierrot-Deseilligny2, and P. H. Faure3 V. Tournadre et al.
  • 1Université Paris-Est, IGN, ENSG, LOEMI, Marne-la-Vallée, France
  • 2Université Paris-Est, IGN, ENSG, LOEM, Marne-la-Vallée, France
  • 3CNR-CACOH, Lyon, France

Keywords: drone, metrology, bowl effect, drift, dyke, MicMac, 4D monitoring

Abstract. The photogrammetric treatment of images acquired on a linear axis is a problematic case. Such tricky configurations often leads to bended 3D models, described as a bowl effect, which requires ground measurements to be fixed. This article presents different solutions to overcome that problem. All solutions have been implemented into the free open-source photogrammetric suite MicMac. The article presents the lasts evolutions of MicMac's bundle adjustment core, as well as some extended calibration models and how they fit for the camera evaluated. The acquisition process is optimized by presenting how oblique images can improve the accuracy of the orientations, while the 3D models accuracies are assessed by producing a millimeter accurate ground truth from terrestrial photogrammetry.