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Ground-based multi-view photogrammetry for the monitoring of landslide deformation and erosion.pdf
Geomorphology 231 (2015) 130–145
Contents lists available at ScienceDirect
Geomorphology
journal homepage: /locate/geomorph
Ground-based multi-view photogrammetry for the monitoring of landslide deformation and erosion
A. Stumpf a,b,?, J.-P. Malet b, P. Allemand c, M. Pierrot-Deseilligny d, G. Skupinski a
a Laboratoire Image, Ville, Environnement, CNRS ERL 7230, Université de Strasbourg, 3 rue de lArgonne, F-67083 Strasbourg, France b Institut de Physique du Globe de Strasbourg, CNRS UMR 7516, Université de Strasbourg, Ecole et Observatoire des Sciences de la Terre, 5 rue Descartes, F-67084 Strasbourg, France c Laboratoire de Géologie de Lyon, Terre, Planètes, Environnement, CNRS UMR 5276, Université de Lyon, Ecole Normale Supérieure, Batiment Géode 2, Campus de la Doua, 2 rue Rapha?l Dubois, 69622 Villeurbanne Cedex, France d Ecole Nationale des Sciences Géographiques, 6 et 8 Avenue Blaise Pascal, Cité Descartes, Champs-sur-Marne, Marne la Vallée 77455, France
article info
Article history: Received 24 June 2014 Received in revised form 21 October 2014 Accepted 29 October 2014 Available online 16 December 2014
Keywords: Structure-from-motion Multi-view stereophotogrammetry Point clouds Change detection Landslide Displacement monitoring
abstract
Recent advances in multi-view photogrammetry have resulted in a new class of algorithms and software tools for more automated surface reconstruction. These new techniques have a great potential to provide topographic information for geoscience applications at signi?cantly lower costs than classical topographic and laser scanning surveys. Based on open-source libraries for multi-view stereo-photogrammetry and Structure-from-Motion, this study investigates the accuracy that can be obtained from several processing pipelines for the 3D surface reconstruction of landslides and the detection of changes over time. Two different algorithms for point-cloud comparison are tested and the accuracy of the resulting models is assessed agai
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