WE1.L2: Classification of Hyperspectral Image I

Session Type: Oral
Time: Wednesday, July 13, 08:20 - 10:00
Location: Room 311B
Session Chair: Qian Du, Mississippi State University
 
08:20 - 08:40
WE1.L2.1: GRAPH-BASED DEEP CONVOLUTIONAL NETWORKS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Jiayan Cao; Fudan University
         Zhao Chen; Fudan University
         Bin Wang; Fudan University
 
08:40 - 09:00
WE1.L2.2: IDEAL REGULARIZED KERNEL FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Jiangtao Peng; Hubei University
         Yicong Zhou; University of Macau
 
09:00 - 09:20
WE1.L2.3: A GAUSSIAN APPROACH TO SUBSPACE BASED CLASSIFICATION OF HYPERSPECTRAL IMAGES
         Mahdi Khodadadzadeh; University of Trento
         Lorenzo Bruzzone; University of Trento
         Jun Li; School of Geography and Planning, Sun Yat-Sen University
         Antonio Plaza; Hyperspectral Computing Laboratory, University of Extremadura, Caceres, Spain
 
09:20 - 09:40
WE1.L2.4: HYPERSPECTRAL IMAGE CLASSIFICATION WITH SMALL TRAINING SET BY DEEP NETWORK AND RELATIVE DISTANCE PRIOR
         Xiaorui Ma; Dalian University of Technology
         Hongyu Wang; Dalian University of Technology
         Jie Geng; Dalian University of Technology
         Jie Wang; Dalian University of Technology
 
09:40 - 10:00
WE1.L2.5: HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON DEEP STACKING NETWORK
         Mingyi He; Northwestern Polytechnical University
         Xiaohui Li; Northwestern Polytechnical University
         Yifan Zhang; Northwestern Polytechnical University
         Jing Zhang; Northwestern Polytechnical University
         Weigang Wang; Northwestern Polytechnical University