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 |
