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 |