Publications du MATIS
Auteur : Martin Weinmann

2017

M. Weinmann, M. Weinmann, C. Mallet, M. Brédif. A classification-segmentation framework for the detection of individual trees in dense MMS point cloud data acquired in urban areas. Remote Sensing, vol. 9(3), 277, 2017.  

L. Landrieu, C. Mallet, M. Weinmann. Comparison of belief propagation and graph-cut approaches for contextual classification of 3D LIDAR point cloud data. Proc. of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, USA, July 2017.  

M. Weinmann, B. Jutzi, C. Mallet, M. Weinmann. Geometric features and their relevance for 3D point cloud classification. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017.  

M. Weinmann, C. Mallet, B. Jutzi. Involving different neighborhood types for the analysis of low-level geometric 2D and 3D features and their relevance for point cloud classification. Publikationen der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (37. Wissenschaftlich-Technische Jahrestagung der DGPF), n°26, Würzburg (Germany), March 2017.  

L. Landrieu, H. Raguet, B. Vallet, C. Mallet, M. Weinmann. A structured regularization framework for spatially smoothing semantic labelings of 3D point clouds. ISPRS Journal of Photogrammetry and Remote Sensing, 132, pp.102-118, 2017.  

2016

M. Weinmann, C. Mallet, M. Brédif. Segmentation and Localization of Individual Trees from MMS Point Cloud Data Acquired in Urban Areas. in Publikationen der DGPF, Bern, 2016.  

M. Weinmann, C. Mallet, M. Brédif. Detection, Segmentation and Localization of Individual Trees from MMS Point Cloud Data. GEOBIA 2016, Best Paper Award, Enschede, The Netherlands, 14-16 September 2016.  

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