Login Paper Search My Schedule Paper Index Help

My IGARSS 2017 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
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

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.

TU4.L6: IEEE GRSS Data Fusion Contest

Session Type: Oral
Time: Tuesday, July 25, 16:20 - 18:00
Location: Room 202 CD
Session Chairs: Gabriele Moser, University of Genoa and Ronnie Haensch, TU Berline
 
  TU4.L6.1: THE DATA FUSION CONTEST 2017: OPEN DATA FOR GLOBAL MULTIMODAL LAND USE CLASSIFICATION
         Devis Tuia; University of Zurich
         Gabriele Moser; University of Genoa
         Bertrand Le Saux; ONERA - The French Aerospace Lab
         Linda See; International Institute for Applied Systems Analysis (IIASA)
         Benjamin Bechtel; University of Hamburg
 
  TU4.L6.2: MULTIMODAL, MULTITEMPORAL, AND MULTISOURCE GLOBAL DATA FUSION FOR LOCAL CLIMATE ZONES CLASSIFICATION BASED ON ENSEMBLE LEARNING
         Naoto Yokoya; The University of Tokyo
         Pedram Ghamisi; German Aerospace Center (DLR)
         Junshi Xia; The University of Tokyo
 
  TU4.L6.3: MULTILEVEL ENSEMBLING FOR LOCAL CLIMATE ZONES CLASSIFICATION
         Sergey Sukhanov; AGT International
         Ivan Tankoyeu; AGT International
         Jérôme Louradour; AGT International
         Roel Heremans; AGT International
         Darya Trofimova; AGT International
         Christian Debes; AGT International
 
  TU4.L6.4: CLASSIFICATION OF URBAN ENVIRONMENTS USING FEATURE EXTRACTION AND RANDOM FOREST
         Camila Souza dos Anjos; Brazilian Air Force
         Marielcio Goncalves Lacerda; Brazilian Air Force
         Leidiane do Livramento Andrade; Brazilian Air Force
         Roberto Neves Salles; Brazilian Air Force
 
  TU4.L6.5: A CO-TRAINING APPROACH TO THE CLASSIFICATION OF LOCAL CLIMATE ZONES WITH MULTI-SOURCE DATA
         Yong Xu; The Chinese University of Hong Kong
         Fan Ma; Xi'an Jiaotong University
         Deyu Meng; Xi'an Jiaotong University
         Chao Ren; The Chinese University of Hong Kong
         Yee Leung; The Chinese University of Hong Kong