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Clément Mallet
Clément Mallet
Director LASTIG lab. (Univ Gustave Eiffel, IGN, ENSG)
Bestätigte E-Mail-Adresse bei ign.fr - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Full-waveform topographic lidar: State-of-the-art
C Mallet, F Bretar
ISPRS Journal of photogrammetry and remote sensing 64 (1), 1-16, 2009
10532009
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
6832015
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
5502011
Dimensionality based scale selection in 3D lidar point clouds
J Demantké, C Mallet, N David, B Vallet
Laserscanning, 2011
4582011
Airborne lidar feature selection for urban classification using random forests
N Chehata, L Guo, C Mallet
Laserscanning, 2009
4202009
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
3792012
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
3382011
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
2492016
Processing full-waveform lidar data: modelling raw signals
A Chauve, C Mallet, F Bretar, S Durrieu, MP Deseilligny, W Puech
International archives of photogrammetry, remote sensing and spatial …, 2007
2452007
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
2422014
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
2362013
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
2232013
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
1852016
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
1662015
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
1302015
Analysis of full-waveform lidar data for classification of urban areas
C Mallet, U Soergel, F Bretar
ISPRS Congress 2008, 2008
1242008
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
1212017
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
1152016
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
1142017
Building large urban environments from unstructured point data
F Lafarge, C Mallet
2011 International Conference on Computer Vision, 1068-1075, 2011
1062011
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