WE3.R1: Deep Learning for Hyperspectral Remote Sensing

Session Type: Oral
Time: Wednesday, July 25, 14:10 - 15:50
Location: Room 1D
Session Chairs: Melba Crawford, Purdue University and Qian Du, Mississippi State University
 
14:10 - 14:30
WE3.R1.1: HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON A CONVOLUTIONAL NEURAL NETWORK AND DISCONTINUITY PRESERVING RELAXATION
         Qishuo Gao; University of New South Wales
         Samsung Lim; University of New South Wales
 
14:30 - 14:50
WE3.R1.2: SIMILARITY-PRESERVING DEEP FEATURES FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Weiwei Song; Hunan University
         Leyuan Fang; Hunan University
         Shutao Li; Hunan University
 
14:50 - 15:10
WE3.R1.3: LARGE-SCALE LAND COVER CLASSIFICATION IN GAOFEN-2 SATELLITE IMAGERY
         Xin-Yi Tong; Wuhan University
         Qikai Lu; Wuhan University
         Gui-Song Xia; Wuhan University
         Liangpei Zhang; Wuhan University
 
15:10 - 15:30
WE3.R1.4: EVALUATION OF DIFFERENT REGULARIZATION METHODS FOR THE EXTREME LEARNING MACHINE APPLIED TO HYPERSPECTRAL IMAGES
         Juan M. Haut; Hyperspectral Computing Laboratory
         Yi Liu; Faculty of Information Technology and Electrical Engineering
         Mercedes E. Paoletti; Hyperspectral Computing Laboratory
         Xiong Xu; College of Surveying and Geo-Informatics
         Javier Plaza; Hyperspectral Computing Laboratory
         Antonio Plaza; Hyperspectral Computing Laboratory
 
15:30 - 15:50
WE3.R1.5: AN INVESTIGATION ON SELF-NORMALIZED DEEP NEURAL NETWORKS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Mercedes E. Paoletti; Hyperspectral Computing Laboratory
         Juan M. Haut; Hyperspectral Computing Laboratory
         Javier Plaza; Hyperspectral Computing Laboratory
         Antonio Plaza; Hyperspectral Computing Laboratory