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My IGARSS 2017 Schedule

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MOP2.PE: Classification Methods

Session Type: Poster
Time: Monday, July 24, 15:20 - 16:20
Location: Exhibit Hall B/C: Poster Area E
Session Chairs: Claudia Paris, University of Trento and Dalton Lunga, Oak Ridge National Laboratory
 
  MOP2.PE.1: FUSION OF GENETIC-PROGRAMMING-BASED INDICES IN HYPERSPECTRAL IMAGE CLASSIFICATION TASKS
         Juan Hernández Albarracı́n; University of Campinas
         Edemir Ferreira Jr; Universidade Federal de Minas Gerais
         Jefersson Alex dos Santos; Universidade Federal de Minas Gerais
         Ricardo Torres; University of Campinas
 
  MOP2.PE.2: SHIP CLASSIFICATION WITH DEEP LEARNING USING COSMO-SKYMED SAR DATA
         Chao Wang; Institute of Remote Remote Sensing and Digital Earth
         Hong Zhang; Institute of Remote Remote Sensing and Digital Earth
         Fan Wu; Institute of Remote Remote Sensing and Digital Earth
         Bo Zhang; Institute of Remote Remote Sensing and Digital Earth
         Sirui Tian; Nanjing University of Science and Technology
 
  MOP2.PE.3: EXTENDING OUT-OF-SAMPLE MANIFOLD LEARNING VIA META-MODELLING TECHNIQUES
         Gülşen Taşkın; Istanbul Technical University
         Melba Crawford; Purdue University
 
  MOP2.PE.4: VISUAL DATA MINING APPLIED ON EARTH OBSERVATION DATASETS
         Andreea Griparis; Politehnica University of Bucharest
         Florin-Andrei Georgescu; Politehnica University of Bucharest
         Mihai Datcu; German Aerospace Center (DLR)
 
  MOP2.PE.5: A DYNAMIC HIERARCHICAL FEATURE SELECTION METHOD FOR OBJECT-BASED CLASSIFICATION OF WETLAND
         Sahel Mahdavi; C-CORE/ Memorial University of Newfoundland
         Bahram Salehi; C-CORE/ Memorial University of Newfoundland
         Meisam Amani; C-CORE/ Memorial University of Newfoundland
         Jean Granger; C-CORE/ Memorial University of Newfoundland
         Brian Brisco; Natural Resources Canada
         Weimin Huang; Memorial University of Newfoundland
 
  MOP2.PE.6: MULTIPLE SVMS BASED ON RANDOM SUBSPACES FROM KERNEL FEATURE IMPORTANCE FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Cheng-Hsuan Li; National Taichung University of Education
         Pei-Jyun Hsieh; National Taichung University of Education
         Bor-Chen Kuo; National Taichung University of Education
 
  MOP2.PE.7: A NEW TEXTURE FEATURE SET FOR ULTRA-HIGH RESOLUTION SAR IMAGES
         Wenjin Wu; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Xinwu Li; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Huadong Guo; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Yue Fang; Beihang University