Publications du MATIS
Thème :

Barbanson

C. Barbanson, C. Mallet, A. Gressin, P.-L. Frison, J.-P. Rudant. Fusion of Lidar and SAR Data for Land-Cover Mapping in Natural Environments. Proc. of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milano, Italy, July 2015.  

Briottet

X. Briottet, N. Chehata, R. Oltra-Carrio, A. Le_Bris, C. Weber. Télédétection optique en milieux urbains (Chapitre 1). In : Télédétection pour l'Observation des Surfaces Continentales en zones urbaines et côtières, Baghdadi N., Zribi M. (Eds), ISTE, Elsevier, 2016.  

X. Briottet, N. Chehata, R. Oltra-Carrio, A. Le_Bris, C. Weber. Optical Remote Sensing in Urban Environments (Chapter 1). Land Surface Remote Sensing in Urban and Coastal Areas, Baghdadi N., Zribi M. (Eds), Elsevier, 2016.  

Cazals

C. Cazals, S. Rapinel, P.-L. Frison, A. Bonis, G. Mercier, C. Mallet, S. Corgne, J.-P. Rudant. Mapping and characterization of hydrological dynamics in coastal marsh using high temporal resolution Sentinel-1 images. Remote Sensing, 2016.  

C. Cazals, S. Rapinel, P.-L. Frison, A. Bonis, J.-P. Rudant. Hydro-ecological Monitoring of Coastal Marsh using High Temporal Resolution Sentinel-1 Time Serie. Living Planet Symposium 2016, Pragues.  

C. Cazals. Estimation de durée d'inondation en milieu prairial par télédétection radar. Journées de la recherche à l'IGN, ENSG, Champs-sur-Marnes, France, 2016.  

C. Cazals. Extraction de surfaces d'eau par télédétection radar : Apport de la très haute résolution spatiale. Séminaire Théia , Montpellier, octobre 2016.  

C. Cazals, H. Benelcadi, P.-L. Frison, G. Mercier, C. Lardeux, N. Chehata, J.-P. Rudant. Contribution of textural information from TerraSAR-X image for forest mapping. In Geoscience and Remote Sensing Symposium (IGARSS), IEEE International, pp.549-552, July 2015.  

C. Cazals. Apport de l'imagerie radar haute résolution pour la cartographie de la végétation : Analyse texturale . Journées de la recherche à l'IGN, ENSG, Champs-sur-Marnes, France, 2015.  

Dechesne

C. Dechesne, C. Mallet, A. Le_Bris, V. Gouet-Brunet. Semantic segmentation of forest stands of pure species combining airborne lidar data and very high resolution multispectral imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 126 (2017), pp.129–145, 2017.  

C. Dechesne, C. Mallet, A. Le_Bris, V. Gouet-Brunet. How to combine LIDAR and very high resolution multispectral images for forest stand segmentation?. Proc. of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, USA, July 2017.  

C. Dechesne, C. Mallet, A. Le_Bris, V. Gouet-Brunet. Semantic segmentation of forest stands of pure specie as a global optimisation problem. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017.  

C. Dechesne, C. Mallet, A. Le_Bris, V. Gouet-Brunet. Segmentation sémantique de données de télédétection multimodale : application aux peuplements forestiers. ORASIS, Colleville-sur-Mer, France, Juin 2017.  

C. Dechesne, C. Mallet, A. Le Bris, V. Gouet-Brunet, A. Hervieu. Forest stand segmentation using airborne Lidar data and very high resolution multispectral imagery. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 41 (B3), pp 207-214 , ISPRS Congress, Prague, Juillet 2016.  

Fauvel

M. Fauvel, C. Dechesne, A. Zullo, F. Ferraty. Fast forward feature selection of hyperspectral images for classification with gaussian mixture models. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8(6), pp. 2824-2831, 2015.  

Ferraz

A. Ferraz, C. Mallet, N. Chehata. Large-scale road detection in forested mountainous areas using airborne topographic lidar data. ISPRS Journal of Photogrammetry and Remote Sensing, 112, pp.23-36, February 2016.  

A. Ferraz, C. Mallet, N. Chehata. Détection à haute résolution spatiale de la desserte forestière en milieux montagneux. Revue Française de Photogrammétrie et de Télédétection, 211-212, pp. 103-117.  

A. Ferraz, S. Saatchi, C. Mallet, V. Meyer. Lidar Detection of Individual Tree Size in Tropical Forests. Remote Sensing of Environment, 183, pp.318-333, 2016.  

A. Ferraz, S. Saatchi, C. Mallet, S. Jacquemoud, G. Rito-Gonçalves, C.A. Silva, P. Soares, M. Tomé, L. Pereira. Airborne Lidar Estimation of Aboveground Forest Biomass in the Absence of Field Inventory. Remote Sensing, 8(8), 653, 2016.  

A. Ferraz, C. Mallet, S. Jacquemoud, G. Rito-Gonçalves, P. Soares, M. Tomé, F. Bretar. Canopy density model, a new ALS-derived product to generate multi-layer canopy cover maps. IEEE Transactions on Geoscience and Remote Sensing, 53(12), pp.6776-6790.  

A. Ferraz, S. Saatchi, C. Mallet, V. Meyer. Tropical forest structure characterization using airborne lidar data: an individual tree level approach. AGU Fall Meeting, San Francisco, USA, December 2015.  

Giordano

S. Giordano, A. Le_Bris, C. Mallet. Fully Automatic Analysis of Archival Aerial Images Current status and challenges. JURSE 2017, Dubai, UAE, March 2017.  

S. Giordano, G. Mercier, J.-P. Rudant. Assessment of the Relevance of Information Derived from the Unmixing of Polarimetric Radar Images. Proc. of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milano, Italy, July 2015.  

S. Giordano. Démélange d’images radar polarimétrique par séparation thématique de sources. Thèse de doctorat de l’Université Paris Est, Novembre 2015.  

Gressin

A. Gressin, C. Mallet, M. Paget, C. Barbanson, P.-L. Frison, J.-P. Rudant, N. Paparoditis, N. Vincent. Un-Sensored Very High Resolution Land-Cover Mapping. Proc. of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milano, Italy, July 2015.  

Hervieu

A. Hervieu, A. Le Bris, C. Mallet. Fusion of hyperspectral and VHR multispectral image classifications in urban areas. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 3(3), pp. 547-464, ISPRS Congress, Prague, Juillet 2016.  

Landrieu

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.  

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.  

Le_Bris

A. Le_Bris, N. Chehata, X. Briottet, N. Paparoditis. Hierarchically exploring the width of spectral bands for urban material classification. JURSE 2017, Dubai, UAE, March 2017.  

A. Le_Bris. Contribution de l'imagerie hyperspectrale à l'analyse des milieux urbains. Journées de la Recherche de l'IGN, Marne-la-Vallée, France, Mars 2016.  

A. Le_Bris, N. Chehata, X. Briottet, N. Paparoditis. Spectral band selection for urban material classification using hyperspectral libraries. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 3 (7), pp. 33-40, ISPRS Congress, Prague, Juillet 2016.  

A. Le_Bris, N. Chehata, X. Briottet, N. Paparoditis. A Random Forest class memberships based wrapper band selection criterion : application to hyperspectral. Proc. of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italie, Juillet 2015.  

A. Le_Bris, N. Chehata, X. Briottet, N. Paparoditis. Extraction of optimal spectral bands using hierarchical band merging out of hyperspectral data. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 15 (3/W3), pp. 459-465, Octobre 2015.  

A. Le_Bris. Optimisation de la configuration d’un instrument superspectral aéroporté pour la classification : application au milieu urbain. Thèse de doctorat de l’Université Paris Est, Décembre 2015.  

A. Le_Bris, N. Chehata, X. Briottet, N. Paparoditis. Identify important spectrum bands for classification using importances of wrapper selection applied to hyperspectral data. Proc. of the 2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM'14) - 2014 , Paris, France, Novembre 2014.  

Mallet

C. Mallet, A. Ferraz. Détection à haute résolution spatiale de la desserte forestière en milieu montagneux par lidar aéroporté. Forêt-entreprise, N°226, janvier 2016.  

C. Mallet, N. Chehata, J.S. Bailly. Méthodes de traitements de données lidar (chapitre 6). In : Télédétection pour l'Observation des Surfaces Continentales. Baghdadi N., Zribi M. (Eds), Editions ISTE, Elsevier, 2016.  

C. Mallet, N. Chehata, J.S. Bailly. Airborne lidar data processing (Chapter 6). In: Optical Remote Sensing of Land Surface Baghdadi N., Zribi M. (Eds), Elsevier, 2016.  

C. Mallet, N. David. Modèles Numériques de Terrain à partir de données lidar aéroportées (Chapitre 7). In : Télédétection pour l'Observation des Surfaces Continentales, Baghdadi N., Zribi M. (Eds), Editions ISTE, Elsevier, 2016.  

C. Mallet, N. David. Digital Terrain Models derived from airborne lidar data (Chapter 7). Optical Remote Sensing of Land Surface, Baghdadi N., Zribi M. (Eds), Elsevier, 2016.  

C. Mallet. Towards operational very high resolution land-cover mapping. Univ. Paris Est, IGN-ENSG, LaSTIG-MATIS, Saint-Mandé , 5 décembre 2016.  

C. Mallet. Publier une contribution scientifique dans la Revue Française de Photogrammétrie et de Télédétection. Revue Française de Photogrammétrie et de Télédétection 210:1-4.  

Motte

E. Motte, M. Zribi, P. Fanise, A. Egido, J. Darrozes, A. Al-Yaari, N. Baghdadi, F. Baup, S. Dayau, R. Fieuzal, P.-L. Frison, D. Guyon, J.-P. Wigneron. GLORI: A GNSS-R Dual Polarization Airborne Instrument for Land Surface Monitoring. Sensors, MDPI, 2016, 16 (732), pp.1-21, May 2016.  

Ouerghemmi

W. Ouerghemmi, S. Gadal, G. Mozgeris, D. Jonikavicius, C. Weber. Urban objects classification by spectral library: feasibility and applications. Joint Urban Remote Sensing Event (JURSE), Dubai, UAE, March 6-8, 2017.  

W. Ouerghemmi, A. Le_Bris, N. Chehata, C. Mallet. A two-step decision fusion strategy: application to hyperspectral and multispectral images for urban classification. ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017.  

Paget

M. Paget, A. Gressin, C. Mallet. Multi-Temporal Optical VHR Image Fusion for Land-Cover Mapping. Proc. of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milano, Italy, July 2015.  

Pelletier

C. Pelletier, S. Valero, J. Inglada, G. Dedieu, N. Champion. New iterative learning strategy to improve classification systems by using outlier detection techniques. Proc. of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, USA, July 2017.  

C. Pelletier, S. Valero, J. Inglada, G. Dedieu, N. Champion. An assessment of image features and random forest for land cover mapping over large areas using high resolution satellite image time series. Proc. of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, July 2016.  

C. Pelletier, S. Valero, J. Inglada, N. Champion, G. Dedieu. Assessing the robustness of Random Forests to map land cover with high resolution satellite image time series over large areas. Remote Sensing of Environment 187: 156–168, 2016.  

Postadjian

T. Postadjian, C. Mallet, A. Le_Bris, H. Sahbi. Investigating the potential of deep neural networks for large-scale classification of very high resolution satellite images. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017.  

Tuia

D. Tuia, J.D. Wegner, C. Mallet, M.Y. Yang. Foreword to the special Issue on "GeoVision: Computer Vision for Geospatial Applications". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(7), pp.2840-2843, 2016.  

Vallet

B. Vallet, C. Mallet. Analyses de scènes avec un véhicule de cartographie mobile (Chapitre 2). In : Télédétection pour l'Observation des Surfaces Continentales en zones urbaines et côtières, Baghdadi N., Zribi M. (Eds), ISTE, Elsevier, 2016.  

B. Vallet, C. Mallet. Urban mapping with the mobile mapping technology (Chapter 2). Land Surface Remote Sensing in Urban and Coastal Areas, Baghdadi N., Zribi M. (Eds), Elsevier, 2016.  

Vandergucht

D. Vandergucht, N. Paparoditis, A. Devaux, M. Bénard, C. Mallet. zForest: un prototype de plateforme web de covisualisation Lidar, raster et vecteur à grande échelle. Revue Française de Photogrammétrie et de Télédétection, 211-212, pp. 129-142.  

Wang

Y. Wang, J. Hyyppa, X. Liang, H. Kaartinen, X. Yu, E. Lindberg, J. Holmgren, Y. Qin, C. Mallet, A. Ferraz, H. Torabzadeh, F. Morsdorf, L. Zhu, J. Liu, P. Alho. International Benchmarking of the Individual Tree Detection Methods for Modeling 3D Canopy Structure for Silviculture and Forest Ecology Using Airborne Laser Scanning. IEEE Transactions on Geoscience and Remote Sensing 54(9), pp.5011-5027, 2016.  

Weber

C. Weber, S. Gadal, X. Briottet, C. Mallet. Apport de l’imagerie hyperspectrale pour la planification urbaine.. SAGEO'16, Nice, France, December 2016.  

Weinmann

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.  

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.  

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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