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Programme
Télécharger le Programme SFPT - GH 2019 -
Mardi 9 juillet | |
8h30 | Accueil |
9h15 - 9h30 | Mot de bienvenue et présentation du Groupe Hyperspectral de la SFPT, Karine Adeline - ONERA |
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 - 12h10 | LOT/ QuantumDesign -Harris Geospatial - ASD & Bonsai - HyTECH Imaging - OPTOPRIM - PRO-LITE - SILIOS technologies - Ardop industries |
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 - 15h40 | Présentation du PNTS - Audrey Minghelli - Université de Toulon |
15h40 - 16h | Synthèse et clôture - Karine Adeline - ONERA |
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 invitée : Pr. Jun 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. |