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My IGARSS 2018 Schedule

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FR4.R7: Spatial-spectral Approaches for Hyperspectral Remote Sensing

Session Type: Oral
Time: Friday, July 27, 16:20 - 18:00
Location: Room 4C
Session Chairs: Gemine Vivone, University of Salerno and Melba Crawford, Purdue University
 
  FR4.R7.1: SPATIAL-SPECTRAL GRAPH-BASED NONLINEAR EMBEDDING DIMENSIONALITY REDUCTION FOR HYPERSPECTRAL IMAGE CLASSIFICAITON
         Xiangrong Zhang; Xidian University
         Yaru Han; Xidian University
         Ning Huyan; Xidian University
         Chen Li; Xi’an Jiaotong University
         Jie Feng; Xidian University
         Li Gao; Research Center on Surveying And Mapping
         Xiaoxiao Ma; Xidian University
 
  FR4.R7.2: A SUBPIXEL SPATIAL-SPECTRAL FEATURE MINING FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Xiang Xu; the Guangdong Provincial Key Laboratory of Urbanization and Geosimulation, Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University
         Jun Li; the Guangdong Provincial Key Laboratory of Urbanization and Geosimulation, Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University
         Yanning Zhang; ShaanXi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi’an 710072, China
         Shutao Li; College of Electrical and Information Engineering, Hunan University
 
  FR4.R7.3: DISCRIMINANT SPATIAL-SPECTRAL HYPERGRAPH LEARNING FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Fulin Luo; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University
         Liangpei Zhang; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University
         Bo Du; School of Computer, Wuhan University
         Lefei Zhang; School of Computer, Wuhan University
         Yanni Dong; Institute of Geophysics and Geomatics, China University of Geosciences
 
  FR4.R7.4: AN ADAPTIVE SPATIAL AND SPECTRAL NEIGHBORHOOD FOR THE RX ANOMALY DETECTOR
         Manel Ben Salem; Research Unit: Sciences and Technologies of Image and Telecommunications
         Karim Saheb Ettabaa; IMT Atlantique
         Med Salim Bouhlel; Research Unit: Sciences and Technologies of Image and Telecommunications
 
  FR4.R7.5: SPATIAL-SPECTRAL BASED MULTI-VIEW LOW-RANK SPARSE SUBSPACE CLUSTERING FOR HYPERSPECTRAL IMAGERY
         Long Tian; Mississippi State University
         Qian Du; Mississippi State University
         Ivica Kopriva; Rudjer Boskovic Institute
         Nicolas H. Younan; Mississippi State University