TH2.R1: Hyperspectral Data Processing III

Session Type: Oral
Time: Thursday, July 26, 11:10 - 12:50
Location: Room 1D
Session Chair: Saurabh Prasad, University of Hosuton
 
11:10 - 11:30
TH2.R1.1: SPECTRAL-SPATIAL HYPERSPECTRAL IMAGE CLASSIFICATION VIA LOCALITY AND STRUCTURE CONSTRAINED LOW-RANK REPRESENTATION
         Xiang He; Northwestern Polytechnical University
         Qi Wang; Northwestern Polytechnical University
         Xuelong Li; Chinese Academy of Sciences
 
11:30 - 11:50
TH2.R1.2: A NOVEL ANT COLONY OPTIMIZATION BASED TRAINING SUBSET SELECTION ALGORITHM FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Shakti Sharma; Indian Inst of Technology Bombay
         Krishna Mohan Buddhiraju; Indian Inst of Technology Bombay
 
11:50 - 12:10
TH2.R1.3: CAN WE GENERATE GOOD SAMPLES FOR HYPERSPECTRAL CLASSIFICATION? -----A GENERATIVE ADVERSARIAL NETWORK BASED METHOD
         Yonghao Xu; Wuhan University
         Bo Du; Wuhan University
         Liangpei Zhang; Wuhan University
 
12:10 - 12:30
TH2.R1.4: SEMI-SUPERVISED CLASSIFICATION OF HYPERSPECTRAL DATA BASED ON GENERATIVE ADVERSARIAL NETWORKS AND NEIGHBORHOOD MAJORITY VOTING
         Ying Zhan; Beijing Normal University
         Kang Wu; Beijing Normal University
         Wei Liu; Beijing Normal University
         Jin Qin; Beijing Normal University
         Zhaoying Yang; Beijing Normal University
         Yasmine Medjadba; Beijing Normal University
         Guian Wang; Beijing Normal University
         Xianchuan Yu; Beijing Normal University
 
12:30 - 12:50
TH2.R1.5: ROBUST SPARSE HYPERSPECTRAL UNMIXING BASED ON MULTI-OBJECTIVE OPTIMIZATION
         Xia Xu; Beihang University
         Liming Wang; Institute of Information Engineering Chinese Academy of Sciences
         Bin Pan; Beihang University
         Zhenwei Shi; Beihang University