TU3.R12: Deep Learning Methods for Multispectral Image Analysis I

Session Type: Oral
Time: Tuesday, July 24, 14:10 - 15:50
Location: Room 2F
Session Chairs: Matthieu Molinier, VTT Technical Research Centre of Finland Ltd and Mihai Datcu, German Aerospace Center (DLR)
 
14:10 - 14:30
TU3.R12.1: EXPLORATORY VISUAL ANALYSIS OF MULTISPECTRAL EO IMAGES BASED ON DNN
         Iulia Neagoe; University Politehnica of Bucharest UPB
         Daniela Faur; University Politehnica of Bucharest UPB
         Corina Vaduva; University Politehnica of Bucharest UPB
         Mihai Datcu; University Politehnica of Bucharest UPB, German Aerospace Centre DLR
 
14:30 - 14:50
TU3.R12.2: END-TO-END LEARNING OF POLYGONS FOR REMOTE SENSING IMAGE CLASSIFICATION
         Nicolas Girard; UCA, Inria, TITANE team
         Yuliya Tarabalka; UCA, Inria, TITANE team
 
14:50 - 15:10
TU3.R12.3: THE INFLUENCE OF SAMPLING METHODS ON PIXEL-WISE HYPERSPECTRAL IMAGE CLASSIFICATION WITH 3D CONVOLUTIONAL NEURAL NETWORKS
         Julius Lange; Humboldt-Universität zu Berlin
         Gabriele Cavallaro; Forschungszentrum Jülich
         Markus Götz; Forschungszentrum Jülich
         Ernir Erlingsson; University of Iceland
         Morris Riedel; Forschungszentrum Jülich
 
15:10 - 15:30
TU3.R12.4: FUSENET: END-TO-END MULTISPECTRAL VHR IMAGE FUSION AND CLASSIFICATION
         John Ray Bergado; University of Twente
         Claudio Persello; University of Twente
         Alfred Stein; University of Twente
 
15:30 - 15:50
TU3.R12.5: MODELING URBANIZATION PATTERNS WITH GENERATIVE ADVERSARIAL NETWORKS
         Adrian Albert; Massachusetts Institute of Technology
         Emanuele Strano; German Aerospace Center (DLR)
         Jasleen Kaur; Philips Research USA
         Marta Gonzalez; University of California, Berkeley