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.  

2015

M. Weinmann, A. Schmidt, C. Mallet, S. Hinz, F. Rottensteiner, B. Jutzi. Contextual classification of point cloud data by exploiting individual 3D neighborhoods. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, PIA'15, Munich, Germany, 2015.  

M. Weinmann, B. Jutzi, S. Hinz, C. Mallet. Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers. ISPRS Journal of Photogrammetry and Remote Sensing 105, pp. 286-304, 2015.  

M. Weinmann, S. Urban, S. Hinz, B. Jutzi, C. Mallet. Distinctive 2D and 3D Features for Automated Large-Scale Scene Analysis in Urban Areas. Computer & Graphics 49, pp.47–57, 2015.  

M. Weinmann, C. Mallet, B. Jutzi, S. Hinz. Efficient interpretation of 3D point clouds by assessing feature relevance. Allgemeine Vermessungs-Nachrichten (AVN), 10/2015, pp.308-315, 2015.  

2014

M. Weinmann, B. Jutzi, C. Mallet. Describing Paris: Automated 3D Scene Analysis via Distinctive Low-Level Geometric Features. IQmulus Workshop on Processing Large Geospatial Data, in conjunction with SGP’14, Cardiff, UK, July 2014.  

M. Weinmann, B. Jutzi, C. Mallet. 3D Scene Analysis Based on Optimal Neighborhoods and Relevant Features. International Computer Vision Summer School, Catania, Sicily, July 2014.  

M. Weinmann, B. Jutzi, C. Mallet. Semantic 3D scene interpretation: a framework combining optimal neighborhood size selection with relevant features. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume II-3, Zürich, Switzerland, September 2014.  

Site internet de la recherche à l'IGN