Technical Program

Session Detail

Session Title WE1.R5: Hyperspectral Image Classification I
Presentation Mode Oral
Session Time Wednesday, 31 July, 08:00 - 09:40
Location Room 315
Session ChairJocelyn Chanussot, Grenoble Institute of Technology

WE1.R5.1: DEEP FEATURE EXTRACTION BASED ON SIAMESE NETWORK AND AUTO-ENCODER FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Jiajia Miao; Fudan University
         Bin Wang; Fudan University
         Xiaofeng Wu; Fudan University
         Liming Zhang; Fudan University
         Bo Hu; Fudan University
         Jian Qiu Zhang; Fudan University

WE1.R5.2: DECISION FUSION BASED ON JOINT LOW RANK AND SPARSE COMPONENT FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Feiyan Li; People's Public Security University of China
         Wei Li; Beijing University of Chemical Technology
         Hongtao Huo; People's Public Security University of China
         Qiong Ran; Beijing University of Chemical Technology

WE1.R5.3: ROLLING GUIDANCE RECURSIVE FILTERING-BASED MULTIPLE KERNEL LEARNING FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Binge Cui; Shandong University of Science and Technology
         Liwei Zhong; Shandong University of Science and Technology
         Xiujuan Tian; Shandong University of Science and Technology

WE1.R5.4: ACCESSIBILITY-FREE ACTIVE LEARNING FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Chenying Liu; Sun Yat-Sen University
         Jun Li; Sun Yat-Sen University
         Mercedes E. Paoletti; University of Extremadura
         Juan M. Haut; University of Extremadura
         Antonio Plaza; University of Extremadura
         Qian Shi; Sun Yat-Sen University

WE1.R5.5: SPECTRAL-SPATIAL CLASSIFICATION OF HYPERSPECTRAL IMAGE BASED ON A JOINT ATTENTION NETWORK
         Erting Pan; Wuhan University
         Yong Ma; Wuhan University
         Xiaoguang Mei; Wuhan University
         Xiaobing Dai; Wuhan University
         Fan Fan; Wuhan University
         Xin Tian; Wuhan University
         Jiayi Ma; Wuhan University