My IGARSS 2016 Schedule

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TH2.L2: Region Based Image Classification

Session Type: Oral
Time: Thursday, July 14, 10:30 - 12:10
Location: Room 311B
Session Chair: Peijun Li, University of Peking
 
  TH2.L2.1: REGION-BASED CLASSIFICATION OF REMOTE SENSING IMAGES WITH THE MORPHOLOGICAL TREE OF SHAPES
         Gabriele Cavallaro; University of Iceland
         Mauro Dalla Mura; Grenoble Institute of Technology
         Edwin Carlinet; EPITA
         Thierry Géraud; EPITA
         Nicola Falco; University of Iceland
         Jón Atli Benediktsson; University of Iceland
 
  TH2.L2.2: HOW USEFUL IS REGION-BASED CLASSIFICATION OF REMOTE SENSING IMAGES IN A DEEP LEARNING FRAMEWORK ?
         Nicolas Audebert; ONERA
         Bertrand Le Saux; ONERA
         Sébastien Lefèvre; Université Bretagne-Sud
 
  TH2.L2.3: DETECTION OF COMPOUND STRUCTURES BY REGION GROUP SELECTION FROM HIERARCHICAL SEGMENTATIONS
         H. Gokhan Akcay; Bilkent University
         Selim Aksoy; Bilkent University
 
  TH2.L2.4: INTEGRATION OF REGION GROWING AND MORPHOLOGICAL ANALYSIS WITH SUPER-RESOLUTION LAND COVER MAPPING
         Huiran Jin; University of Maryland
         Peijun Li; Peking University
 
  TH2.L2.5: UNSUPERVISED POLSAR IMAGE CLASSIFICATION USING BOUNDARY-PRESERVING REGION DIVISION AND REGION-BASED AFFINITY PROPAGATION CLUSTERING
         Biao Hou; Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University
         Yuheng Jiang; Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University
         Bo Ren; Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University
         Zaidao Wen; Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University
         Shuang Wang; Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University
         Licheng Jiao; Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University