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WE3.L1: Deep and Convolutional Neural Networks

Session Type: Oral
Time: Wednesday, July 26, 13:40 - 15:20
Location: Ballroom B
Session Chairs: Gustau Camps-Valls, Universitat de València, Claudio Persello, University of Twente and Wendi Pan, University of Alabama in Huntsville
 
  WE3.L1.1: CLASSIFICATION OF MULTITEMPORAL SAR IMAGES USING CONVOLUTIONAL NEURAL NETWORKS AND MARKOV RANDOM FIELDS
         Carolyne Danilla; University of Twente
         Claudio Persello; University of Twente
         Valentyn Tolpekin; University of Twente
         John Ray Bergado; University of Twente
 
  WE3.L1.2: HYPERSPECTRAL IMAGES CLASSIFICATION WITH HYBRID DEEP RESIDUAL NETWORK
         Weiwei Song; Hunan University
         Shutao Li; Hunan University
         Yi Li; Hunan University
 
  WE3.L1.3: GOLOMB-RICE CODING PARAMETER LEARNING USING DEEP BELIEF NETWORK FOR HYPERSPECTRAL IMAGE COMPRESSION
         Hongda Shen; University of Alabama in Huntsville
         David Pan; University of Alabama in Huntsville
         Yuhang Dong; University of Alabama in Huntsville
         Zhuocheng Jiang; University of Alabama in Huntsville
 
  WE3.L1.4: REAL-TIME SCENE UNDERSTANDING FOR UAV IMAGERY BASED ON DEEP CONVOLUTIONAL NEURAL NETWORKS
         Clay Sheppard; Texas A&M University-Corpus Christi
         Maryam Rahnemoonfar; Texas A&M University-Corpus Christi
 
  WE3.L1.5: MULTICORE IMPLEMENTATION OF THE MULTI-SCALE ADAPTIVE DEEP PYRAMID MATCHING MODEL FOR REMOTELY SENSED IMAGE CLASSIFICATION
         Mercedes Eugenia Paoletti; University of Extremadura
         Juan Mario Haut; University of Extremadura
         Javier Plaza; University of Extremadura
         Antonio Plaza; University of Extremadura
         Qingshan Liu; Nanjing University of Information Science and Technology
         Renlong Hang; Nanjing University of Information Science and Technology
 
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