Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W3, 327-333, 2015
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W3/327/2015/
doi: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
UAV LINEAR PHOTOGRAMMETRY
V. Tournadre1, M. Pierrot-Deseilligny2, and P. H. Faure3 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.
Conference paper (PDF, 10548 KB)


Citation: Tournadre, V., Pierrot-Deseilligny, M., and Faure, P. H.: UAV LINEAR PHOTOGRAMMETRY, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W3, 327-333, doi:10.5194/isprsarchives-XL-3-W3-327-2015, 2015.

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