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Programme

   Télécharger le Programme SFPT - GH 2019 -                               

  Mardi 9 juillet
8h30 Accueil
9h15 - 9h30 Mot de bienvenue
  Session 1 - SYNTHESE CAPTEURS
9h30 - 9h50 Historique et synthèse des études sur l’hyperspectral menées au CNES M.-J. Lefèvre-Fonollosa, A. Deschamps, V. Lonjou, G. Blanchet, S. May
  M.-J. Lefèvre-Fonollosa, A. Deschamps, V. Lonjou, G. Blanchet, S. May
9h50 - 10h10 Recent scientific developements to support a future French hyperspectral space mission
  X. Briottet, T. Bajjouk, V. Carrere, M. Chami, C. Delacourt, M. Fauvel, J.-B. Féret, C. Gomez, S. Jacquemoud, R. Marion, A. Minghelli, D. Sheeren, C. Weber
  Session 2 - INSTRUMENTATION
10h10 - 10h30 Simulation and Improvements of the Hyperspectral Images of the SIELETERS Airborne System
  O. Gazzano, Y. Ferrec, A. Kattnig, C. Coudrain, L. Rousset-Rouviere
10h30 - 10h50

Instrument hyperspectral large bande (UV-Vis-NIR) pour la caractérisation de la fluorescence des matériaux organiques

  E. Gouisset, F. Bourcier, P. Walter, F. Infante
10h50 - 11h10 ImSpoc : un imageur hyperspectral compact pour les sciences de l’atmosphère
  Y. Ferrec, F. de la Barrière, E. Le Coarer, L. Croizé, S. Gousset, J. Rodrigo
11h10 - 11h30 Caractérisation des gaz basée sur un spectro-imageur interférométrique instantané
  A. Dolet, D. Picone, M. Dalla Mura, S. Gousset, S. Doute, E. Le Coarer
  Session 3 - EXPOSANTS
11h30 - 11h35 LOT - QuantumDesign
11h35 - 11h40 Harris Geospatial
11h40 - 11h45 ASD & Bonsai
11h45  - 11h50 HyTECH Imaging
11h50 - 11h55 OPTOPRIM
11h55 - 12h00 PRO-LITE
12h00 - 12h05 SILIOS technologies
12h05 - 13h30 Pause déjeuner
  Session 4 - METHODOLOGIE
13h30 - 13h50 Hyperspectral image reconstruction from an adaptive dual-disperser imager exploiting the spatial correlation of the panchromatic image
  I. Ardi, H. Carfantan, S. Lacroix, A. Monmayrant
13h50 - 14h10 Improvement and validation of DART atmosphere thermal infrared radiative transfer modelling
  Y. Wang, J.-P. Gastellu-Etchegorry
14h10 - 14h30 Séparation de spectres de galaxies fondée sur la fusion de données
  A. Guerrero, S. Hosseini, Y. Deville, T. Contini, T. Grégoire
14h30 - 14h50 Démélange parcimonieux et prise en compte de contraintes structurantes par optimisation globale
  R. Ben Mhenni, S. Bourguignon, J. Ninin, F. Schmidt
14h50 - 15h10 Fusion de données hyperspectrales et panchromatique par démélange spectral dans le domaine réflectif
  Y. Constans, S. Fabre, V. Crombez, M. Seymour, J. Chanussot, Y. Deville, X. Briottet
15h10 - 16h30 Session 5 - POSTERS
16h30 - 17h30 Oratrice invitée - Jun Li - Sun Yat-Sen University, Guangzhou  China
  Recent advances in spectral-spatial hyperspectral image classification
20h00 - 22h30 Dîner
  Mercredi 10 juillet
 8h30 Accueil
  Session 6 - MILIEUX LITTORAUX
9h00  -9h20 Blind unmixing based on spectral-variabilility modeling for hyperspectral oceanic remote sensing data with adjacency effects
  Y. Deville, S.-E. Brezini, F. Z. Benhalouche, M. S. Karoui, M. Guillaume, X. Lenot, B. Lafrance, M. Chami, S. Jay, A. Minghelli, X. Briottet, V. Serfaty
9h20 - 9h40 Macroalgues intertidales : Apport de la télédétection hyperspectrale pour le suivi sectoriel dans le cadre de la DCE/DCSMM
  A. Le Bris, T. Perrot, P.-O. Liabot, C. Daniel, S. Richier
9h40 - 10h00 Suivi de cordons dunaires par télédétection synchronisée Hyperspectrale et LiDAR à retour d’onde complet
  G. Frati, P. Launeau, M. Giraud, S.  Moussaoui, M. Robin, D. Lague, C. Michon
10h00 - 10h20 Cartographie de vestiges archéologiques immergés à partir d'images hyperspectrales : application au site d'Er Lannic
  A. Guyot, M. Lennon, T. Lorho, N. Thomas, T. Petit, S. Guéguen, G. Sicot, S. Cassen, L. Hubert-Moy
10h20 - 10h50 Pause café
  Session 7 - VEGETATION
10h50 - 11h10 Utilisation de données hyperspectrales pour la détection et la quantification des hydrocarbures pétroliers en régions végétalisées
  G. Lassalle, S. Fabre, A. Credoz, R. Hédacq, G. Bertoni, D. Dubucq, A. Elger
11h10 - 11h30 Identification automatique d’essences forestières : comparaison des performances entre données hyperspectrales (Hypxim) et données hypertemporelles (Sentinel-2)
  T. Erudel, S. Fabre, P. Déliot, X. Briottet, J.-B. Féret, D. Sheeren
11h30 - 11h50 Caractérisation de la réflectance de canopée pour la cartographie de la biodiversité en forêt tropicale par modélisation physique
  D. M. Ebengo, F. de Boissieu, C. Lavalley, G. Vincent, C. Weber, J.-B. Féret
11h50 - 12h10 Influence of forest modeling on LAI and chlorophyll content estimation with radiative transfer inversion for a woodland savanna
  T. Miraglio, K. Adeline, M. Huesca, S. Ustin, X. Briottet
12h10 - 13h30 Pause déjeuner
  Session 8 - MILIEUX URBAINS
13h30 - 13h50 Apport des données hyperspectrales pour la cartographie et la caractérisation des sources lumineuses artificielles nocturnes en milieux urbain
  J. Nabucet, M. Lennon, N. Thomas, D. Moisan, L. Hubert-Moy
13h50 - 14h10 HYEP HYperspectral imagery for Environmental urban Planning : principaux résultats
  C. Weber, T. Houet, S. Gadal, R. Aguejdad, G. Skupinski, Y. Deville, J. Chanussot, M. Dalla Mura, X. Briottet,  C. Mallet, A. Le Bris
14h10 - 14h30 Apport d’une voie panchromatique dans le démélange d’images hyperspectrales
  S. Rebeyrol, Y. Deville, V. Achard, X. Briottet, S. May
  Session 9 - SOL ET PLANETOLOGIE
14h30 - 14h50 Identification et caractérisation de minéraux : une procédure automatique de traitement d'image hyperspectrale
  R. Rialland, R. Marion, C. Soussen, V.Carrère
14h50 - 15h10 Minéralogie de zones de cisaillement dans Valles Marineris, Mars, et évolution géologique
  F. Schmidt, J. Gurgurewicz , D. Mege
15h10 - 15h30 Détection de sols pollués aux hydrocarbures à partir d’images hyperspectrales
  V. Achard, C. Elin, D. Dubucq
15h30 - 16h Synthèse et clôture

 

Détail session POSTERS
TERRISCOPE : Une nouvelle plateforme de télédétection optique aéroportée à partir d’avions et de drones pour la caractérisation de l'environnement et des surfaces continentales
Y. Boucher, A. Amiez, P. Barillot, C. Chatelard, C. Coudrain, P. Déliot, N. Rivière, T. Rivière, L. Roupioz
Detection of vine diseases in multispectral (UAVs and satellite) and hyperspectral (airborned) images: Preliminary results using a non-linear unmixing tool (SAGA+)
H. Clenet, S. Nakhostin, E. Laroche-Pinel, V. Cheret, S. Duthoit
Cartographie des fonds marins à partir d’images hyperspectrales aériennes par correction de l’atténuation du signal du fond par la colonne d’eau
A. Minghelli, M. Guillaume, M. Chami, B. Lafrance, X. Briottet, S. Jay, Y. Deville, V. Serfaty, M. Peirache
Integrating water column effects and bottom neighbor influence for a specific NMF seabed unmixing method
M. Guillaume, Y. Deville, X. Lenot, B. Lafrance, M. Chami, S. Jay, A. Minghelli, X. Briottet, V. Serfaty
Validation d’une méthode de correction des cirrus dans le domaine réflectif [0.4 - 2.5µm]
S. Salgado, S. Mathieu, L. Poutier, X. Briottet
L’imagerie hyperspectrale au service de nouvelles applications
J. Aval, A. Al Falou
Cofactorisation de matrices pour le démélange et la classification conjoints d’images hyperspectrales
A. Lagrange, M. Fauvel, S. May, J.M. Bioucas-Dias, N. Dobigeon
Utilisation de données optiques pour l’exploration pétrolière basée sur les effets indirects sur la végétation
S. Fabre, P. Déliot, A. Beaupere, A. Credoz, D. Dubucq
Cartographie de minéralisations hydrothermales par imagerie hyperspectrale aéroportée : cas d’étude du bassin de Tabernas (Almeria, SE Espagne)
E. Ducasse, K. Adeline, V. Miegebielle, M. Larrey
Fusion of LiDAR and hyperspectral data for 3D segmentation of individual trees
E. Tusa, J.-B. Barré, J.-M. Monnet, M. Dalla-Mura, F. Berger, J. Chanussot
Hyperspectral unmixing based on a novel pixel-by-pixel NMF algorithm using a new linear mixing model to address multiplicative adjusted spectral variability
F.Z. Benhalouche, M. S. Karoui, Y. Deville

 

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Oratrice invitéeJun Li, Sun Yat-Sen University, Guangzhou  China

 "Recent Advances in Spectral–Spatial Hyperspectral Image Classification"

 Abstract

Imaging spectroscopy, also known as hyperspectral imaging, has been transformed in the last four decades from being a sparse research tool into a commodity product available to a broad user community. Particularly, in the last 10 years, a significant number of new techniques have been introduced in the domain of hyperspectral image classification. Most of these techniques are characterized by their capacity to take into account both the spatial and spectral characteristics of the hyperspectral data, as opposed to classic techniques for hyperspectral classification that perform in pixel-by-pixel fashion. Spectral–spatial hyperspectral image classification techniques can achieve better performance than their pixel-wise counterparts, as they can combine the rich spectral information contained in the data with spatial-contextual information. In this talk, we provide a comprehensive overview of recent developments in spectral–spatial techniques for hyperspectral image classification in a unified context. The idea of spatial dependency system is first introduced, which involves pixel dependency and label dependency. Resulting from this concept, we categorize available approaches into fixed, adaptive, and global. Then, existing spectral–spatial methods are grouped into four categories according to the fusion stages in which spatial information becomes effective, i.e.,preprocessing-based, integrated, postprocessing-based, and hybrid techniques. Finally, typical methodologies are outlined. The talk concludes with a detailed comparison of representative spectral–spatial classification methods using hyperspectral images collected by several instruments, in the context of different applications.

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Jun Li received the Geographical Information Systems degree from Hunan Normal University in 2004, the M.Sc. degree in Remote Sensing and Photogrammetry from Peking University in 2007, and the Ph.D. degree in Electrical and Computer Engineering from Instituto Superior Tecnico, Technical University of Lisbon in 2011. She was a postdoctoral researcher with the hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, University of Extremadura, Cáceres, Spain. She is currently a Full Professor with the School of Geography and Planning, Sun Yat-Sen University, China, where she founded her own research group on hyperspectral image analysis in 2013. Since then, she has obtained several prestigious funding grants at the national and international level. She has published a total of 86 journal citation report (JCR) papers, 48 conference international conference papers, and 1 international book chapter. She has received a significant number of citations to her published works, with several papers distinguished as “Highly Cited Papers” in Clarivate Analytics’ Web of Science Essential Science Indicators (WoS-ESI). She was elevated to IEEE Senior Member status in 2016. Her students have also obtained important distinctions and awards at international conferences and symposia. Her main research interests comprise remotely sensed hyperspectral image analysis, signal processing, supervised/semi-supervised learning and active learning. Prof.Li is an Associate Editor for the IEEE Journal of Selected Topics in Applied Earth Observationsand Remote Sensing (since 2014). She has been a Guest Editor for several journals, including the Proceedings of the IEEE and the ISPRS Journal of Photogrammetry and Remote Sensing. She has also been an active reviewer for several journals, including the IEEE Transactions on Geoscience and Remote Sensing, the IEEE Geoscience and Remote Sensing Letters, the IEEE Transactions on Image Processing, Pattern Recognition, Optical Engineering, Journal of Applied Remote Sensing and Inverse Problems and Imaging. She has received several important awards and distinctions, including the IEEE Geoscience and Remote Sensing Society (GRSS) Early Career Award in 2017. She was distinguished as a Best Reviewer of the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (in 2013). One of her students received the Best Student Paper at the 2016 SPIE Remote Sensing Europe Symposium held in Edinburgh, UK. One of her students received the 2nd prize in the Student Paper competition held at the 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) held in Fort Worth, Texas.