| Full-waveform topographic lidar: State-of-the-art C Mallet, F Bretar ISPRS Journal of photogrammetry and remote sensing 64 (1), 1-16, 2009 | 1009 | 2009 |
| Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers M Weinmann, B Jutzi, S Hinz, C Mallet ISPRS Journal of Photogrammetry and Remote Sensing 105, 286-304, 2015 | 578 | 2015 |
| Relevance of airborne lidar and multispectral image data for urban scene classification using Random Forests L Guo, N Chehata, C Mallet, S Boukir ISPRS Journal of Photogrammetry and Remote Sensing 66 (1), 56-66, 2011 | 491 | 2011 |
| Dimensionality based scale selection in 3D lidar point clouds J Demantké, C Mallet, N David, B Vallet The international archives of the photogrammetry, remote sensing and spatial …, 2012 | 408 | 2012 |
| Airborne lidar feature selection for urban classification using random forests N Chehata, L Guo, C Mallet Laserscanning, 2009 | 387 | 2009 |
| Creating large-scale city models from 3D-point clouds: a robust approach with hybrid representation F Lafarge, C Mallet International journal of computer vision 99, 69-85, 2012 | 351 | 2012 |
| Relevance assessment of full-waveform lidar data for urban area classification C Mallet, F Bretar, M Roux, U Soergel, C Heipke ISPRS journal of photogrammetry and remote sensing 66 (6), S71-S84, 2011 | 307 | 2011 |
| Processing full-waveform lidar data: modelling raw signals A Chauve, C Mallet, F Bretar, S Durrieu, M Pierrot-Deseilligny, W Puech ISPRS Workshop Laser Scanning and SilviLaser (LS SL) 36, 102-107, 2007 | 235 | 2007 |
| Lidar detection of individual tree size in tropical forests A Ferraz, S Saatchi, C Mallet, V Meyer Remote Sensing of Environment 183, 318-333, 2016 | 218 | 2016 |
| Semantic 3D scene interpretation: A framework combining optimal neighborhood size selection with relevant features M Weinmann, B Jutzi, C Mallet ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2014 | 216 | 2014 |
| Towards 3D lidar point cloud registration improvement using optimal neighborhood knowledge A Gressin, C Mallet, J Demantké, N David ISPRS journal of photogrammetry and remote sensing 79, 240-251, 2013 | 204 | 2013 |
| Feature relevance assessment for the semantic interpretation of 3D point cloud data M Weinmann, B Jutzi, C Mallet ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2013 | 199 | 2013 |
| International benchmarking of the individual tree detection methods for modeling 3-D canopy structure for silviculture and forest ecology using airborne laser scanning Y Wang, J Hyyppä, X Liang, H Kaartinen, X Yu, E Lindberg, J Holmgren, ... IEEE Transactions on Geoscience and Remote Sensing 54 (9), 5011-5027, 2016 | 157 | 2016 |
| Distinctive 2D and 3D features for automated large-scale scene analysis in urban areas M Weinmann, S Urban, S Hinz, B Jutzi, C Mallet Computers & Graphics 49, 47-57, 2015 | 149 | 2015 |
| Contextual classification of point cloud data by exploiting individual 3D neigbourhoods M Weinmann, A Schmidt, C Mallet, S Hinz, F Rottensteiner, B Jutzi ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2015 | 117 | 2015 |
| Mapping and characterization of hydrological dynamics in a coastal marsh using high temporal resolution Sentinel-1A images C Cazals, S Rapinel, PL Frison, A Bonis, G Mercier, C Mallet, S Corgne, ... Remote Sensing 8 (7), 570, 2016 | 111 | 2016 |
| Building large urban environments from unstructured point data F Lafarge, C Mallet 2011 International Conference on Computer Vision, 1068-1075, 2011 | 109 | 2011 |
| A structured regularization framework for spatially smoothing semantic labelings of 3D point clouds L Landrieu, H Raguet, B Vallet, C Mallet, M Weinmann ISPRS Journal of Photogrammetry and Remote Sensing 132, 102-118, 2017 | 108 | 2017 |
| Analysis of full-waveform lidar data for classification of urban areas C Mallet, U Soergel, F Bretar ISPRS Congress 2008, 2008 | 107 | 2008 |
| A classification-segmentation framework for the detection of individual trees in dense MMS point cloud data acquired in urban areas M Weinmann, M Weinmann, C Mallet, M Brédif Remote sensing 9 (3), 277, 2017 | 89 | 2017 |
Nesrine CHEHATASenior Lecturer in Geomatics and machine learning for Earth Observation - Bordeaux INPVerified email at ensegid.fr
