FR2.R7: Classification of SAR/POLSAR Data II

Session Type: Oral
Time: Friday, July 27, 11:10 - 12:50
Location: Room 4C
Session Chair: Thomas Jagdhuber, German Aerospace Center (DLR)
 
11:10 - 11:30
FR2.R7.1: POLARIMETRIC INFORMATION FOR MULTI–FREQUENCY SAR CLASSIFICATION OF HETEROGENEOUS COASTAL REGIONS
         Andrea Buono; Università di Napoli Parthenope
         Ferdinando Nunziata; Università di Napoli Parthenope
         Maurizio Migliaccio; Università di Napoli Parthenope
         Xiaofeng Yang; Chinese Academy of Sciences
         Xiaofeng Li; National Oceanic and Atmospheric Administration/National Environmental Satellite, Data, and Information Service
 
11:30 - 11:50
FR2.R7.2: A COMPARATIVE EVALUATION OF POLARIMETRIC DISTANCE MEASURES WITHIN THE RANDOM FOREST FRAMEWORK FOR THE CLASSIFICATION OF POLSAR IMAGES
         Ronny Hänsch; Technische Universität Berlin
         Olaf Hellwich; Technische Universität Berlin
 
11:50 - 12:10
FR2.R7.3: SHIP DISCRIMINATION WITH DEEP CONVOLUTIONAL NEURAL NETWORKS IN SAR IMAGES
         Yuanyuan Wang; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Chao Wang; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Hong Zhang; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
 
12:10 - 12:30
FR2.R7.4: POLSAR IMAGE CLASSIFICATION BASED ON DBN AND TENSOR DIMENSIONALITY REDUCTION
         Biao Hou; Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University
         Xianpeng Guo; Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University
         Weidan Hou; 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
         Xiangrong Zhang; 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
 
12:30 - 12:50
FR2.R7.5: EXPLORING CONVOLUTIONAL LSTM FOR POLSAR IMAGE CLASSIFICATION
         Lei Wang; Wuhan University
         Xin Xu; Wuhan University
         Hao Dong; Wuhan University
         Rong Gui; Wuhan University
         Rui Yang; Wuhan University
         Fangling Pu; Wuhan University