WE2.L1: Kernel-based Classification

Session Type: Oral
Time: Wednesday, July 26, 10:40 - 12:20
Location: Ballroom B
Session Chairs: Lorenzo Bruzzone, University of Trento and Jun Li, Sun Yat-Sen Uni
 
10:40 - 11:00
WE2.L1.1: GABOR FEATURE BASED SUPPORT VECTOR GUIDED DICTIONARY LEARNING FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Sen Jia; College of Computer Science and Software Engineering, Shenzhen University
         Huimin Xie; College of Computer Science and Software Engineering, Shenzhen University
         Lin Deng; College of Computer Science and Software Engineering, Shenzhen University
         Qiang Huang; College of Computer Science and Software Engineering, Shenzhen University
         Jun Li; School of Geography and Planning, Sun Yat-sen University
 
11:00 - 11:20
WE2.L1.2: A DOMAIN-TRANSFER SUPPORT VECTOR MACHINE FOR MULTI-TEMPORAL REMOTE SENSING IMAGERY CLASSIFICATION
         Yiqing Guo; The University of New South Wales
         Xiuping Jia; The University of New South Wales
         David Paull; The University of New South Wales
 
11:20 - 11:40
WE2.L1.3: HYPERSPECTRAL IMAGE CLASSIFICATION VIA KERNEL FULLY CONSTRAINED LEAST SQUARES
         Jianjun Liu; Jiangnan University
         Zebin Wu; Nanjing University of Science and Technology
         Zhiyong Xiao; Jiangnan University
         Jinlong Yang; Jiangnan University
 
11:40 - 12:00
WE2.L1.4: MULTIPLE COMPOSITE KERNEL LEARNING FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Peijun Du; Nanjing University
         Junshi Xia; The University of Tokyo
         Pedram Ghamisi; German Aerospace Center (DLR)
         Akira Iwasaki; The University of Tokyo
         Jón Atli Benediktsson; University of Iceland
 
12:00 - 12:20
WE2.L1.5: EFFICIENT REMOTE SENSING IMAGE CLASSIFICATION WITH GAUSSIAN PROCESSES AND FOURIER FEATURES
         Pablo Morales; University of Granada
         Adrian Perez-Suay; Universitat de València
         Rafael Molina; University of Granada
         Gustau Camps-Valls; Universitat de València