WE4.R12: Deep Learning Theories and Applications in the Remote Sensing II

Session Type: Oral
Time: Wednesday, July 25, 16:50 - 18:30
Location: Room 2F
Session Chairs: Feng Xu, Fudan University and Mihai Datcu, German Aerospace Center (DLR)
 
16:50 - 17:10
WE4.R12.1: DEEP NEURAL NETWORKS BASED SEMANTIC SEGMENTATION FOR OPTICAL TIME SERIES
         Wei Yao; German Aerospace Center (DLR)
         Mihai Datcu; German Aerospace Center (DLR)
 
17:10 - 17:30
WE4.R12.2: POLSAR TARGET CLASSIFICATION USING POLARIMETRIC-FEATURE-DRIVEN DEEP CONVOLUTIONAL NEURAL NETWORK
         Si-Wei Chen; National University of Defense Technology
         Chen-Song Tao; National University of Defense Technology
         Xue-Song Wang; National University of Defense Technology
         Shun-Ping Xiao; National University of Defense Technology
 
17:30 - 17:50
WE4.R12.3: SAR TARGET CLASSIFICATION WITH CYCLEGAN TRANSFERRED SIMULATED SAMPLES
         Lei Liu; Institute of Electronics, Chinese Academy of Sciences
         Zongxu Pan; Institute of Electronics, Chinese Academy of Sciences
         Xiaolan Qiu; Institute of Electronics, Chinese Academy of Sciences
         Lingxiao Peng; Institute of Electronics, Chinese Academy of Sciences
 
17:50 - 18:10
WE4.R12.4: LAND COVER GENERATION FROM OPTICAL IMAGE
         Haipeng Wang; Fudan University
         Feng Xu; Fudan University
 
18:10 - 18:30
WE4.R12.5: A PARAMETERIZATION SCHEME FOR TYPHOON-OCEAN INTERACTION BASED ON A DEEP LEARNING NEURAL NETWORK
         Guoqing Jiang; Peking University
         Jun Wei; Peking University