My M2GARSS 2020 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
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Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

WE2.1: Deep Learning II

Session Type: Oral
Time: Wednesday, March 11, 11:20 - 12:40
Location: Valetta
Session Chair: Rachid Hedjam, Sultan Qaboos University, Oman
 
  WE2.1.1: AN APPROACH TO SUPER-RESOLUTION OF SENTINEL-2 IMAGES BASED ON GENERATIVE ADVERSARIAL NETWORKS
Kexin Zhang, Shanghai Jiao Tong University, China; Gencer Sumbul, Begüm Demir, Technische Universität Berlin, Germany
 
  WE2.1.2: MULTIFREQUENCY POLSAR IMAGE CLASSIFICATION USING DUAL-BAND 1D CONVOLUTIONAL NEURAL NETWORKS
Mete Ahishali, Tampere University, Finland; Serkan Kiranyaz, Qatar University, Qatar; Turker Ince, Izmir University of Economics, Turkey; Moncef Gabbouj, Tampere University, Finland
 
  WE2.1.3: DEEP LEARNING APPROACH FOR POST-FLOOD SOIL DEFORMATION MAPPING USING INSAR DATA
Chayma Chaabani, Riadh Abdelfattah, University of Carthage, Higher School of Communications of Tunis, COSIM Lab, Tunisia; Farid Melgani, Department of Information Engineering and Computer Science, University of Trento, Italy
 
  WE2.1.4: FEW-SHOT LEARNING FOR REMOTE SENSING SCENE CLASSIFICATION
Dalal Alajaji, Haikel AlHichri, Nassim Ammour, Naif Alajlan, King Saud University, Saudi Arabia