My IGARSS 2016 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
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Clicking on the Add button next to a paper title will add that paper to your custom schedule.
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MOP.P24: Region Based Image Classification

Session Type: Poster
Time: Monday, July 11, 17:20 - 19:00
Location: Third Floor, South Hall, Poster Area
 
  MOP.P24.136: HYPERSPECTRAL IMAGE CLASSIFICATION VIA REGION-BASED COMPOSITE KERNELS
         Jianjun Liu; Jiangnan University
         Xiaoqian Shi; Jiangnan University
         Zebin Wu; Nanjing University of Science and Technology
         Liang Xiao; Nanjing University of Science and Technology
         Zhiyong Xiao; Jiangnan University
         Yunhao Yuan; Jiangnan University
 
  MOP.P24.137: SUPERVISED CLASSIFICATION OF THERMAL INFRARED HYPERSPECTRAL IMAGES THROUGH BAYESIAN, MARKOVIAN, AND REGION-BASED APPROACHES
         Francesco Barisione; University of Genoa
         David Solarna; University of Genoa
         Andrea De Giorgi; University of Genoa
         Gabriele Moser; University of Genoa
         Sebastiano B. Serpico; University of Genoa
 
  MOP.P24.138: FUSION OF INTENSITY/COHERENT INFORMATION USING REGION COVARIANCE FEATURES FOR UNSUPERVISED CLASSIFICATION OF SAR IMAGERY
         Xiangli Yang; Wuhan University
         Shangtan Tu; Shanghai Institute of Satellite Engineering
         Yu Bai; Wuhan University
         Wen Yang; Wuhan University
 
  MOP.P24.139: CONVOLUTIONAL NEURAL NETWORK FOR SAR IMAGE CLASSIFICATION AT PATCH LEVEL
         Juanping Zhao; Shanghai Jiao Tong University
         Weiwei Guo; Shanghai Jiao Tong University
         Shiyong Cui; German Aerospace Center (DLR)
         Zenghui Zhang; Shanghai Jiao Tong University
         Wenxian Yu; Shanghai Jiao Tong University
 
  MOP.P24.140: SPARSE SAR PATCH CLASSIFICATION USING COMPLEX VALUED APPROACH
         Dusan Gleich; Univeristy of Maribor