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My IGARSS 2018 Schedule

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WE1.R1: Manifold Learning

Session Type: Oral
Time: Wednesday, July 25, 08:30 - 10:10
Location: Room 1D
Session Chairs: Valero Laparra, Universitat de València and Adrian Perez-Suay, Universitat de València
 
  WE1.R1.1: IMPROVING LINEAR CLASSIFICATION USING SEMI-SUPERVISED INVERTIBLE MANIFOLD ALIGNMENT
         Wolfgang Gross; Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB)
         Nayeli Espinosa; Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB)
         Merlin Becker; Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB)
         Simon Schreiner; Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB)
         Wolfgang Middelmann; Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB)
 
  WE1.R1.2: LEARNING A STABLE LOCAL MANIFOLD REPRESENTATION FOR HYPERSPECTRAL LINEAR DIMENSIONALITY REDUCTION
         Wenbo Yu; Harbin Institute of Technology
         Miao Zhang; Harbin Institute of Technology
         Yi Shen; Harbin Institute of Technology
 
  WE1.R1.3: GROUND-BASED INFRARED CLOUD CLASSIFICATION BASED ON MANIFOLD KERNEL DICTIONARY LEARNING AND SPARSE CODING
         Qixiang Luo; College of Meteorology and Oceanology, National University of Defense Technology
         Zeming Zhou; College of Meteorology and Oceanology, National University of Defense Technology
         Yong Meng; College of Meteorology and Oceanology, National University of Defense Technology
 
  WE1.R1.4: FULLY CONVOLUTIONAL NETWORK WITH POLARIMETRIC MANIFOLD FOR SAR IMAGERY CLASSIFICATION
         Mingxia Tu; Wuhan University
         Gong Han; Wuhan University
         Xinlong Liu; Wuhan University
         Chu He; Wuhan University
 
  WE1.R1.5: A MANIFOLD LEARNING APPROACH OF LAND COVER CLASSIFICATION FOR OPTICAL AND SAR FUSING DATA
         Xiangyu Tan; Yunnan Electric Power Research Institute, Yunnan Power Grid Co., Ltd.
         Shaobin Jiang; University of Electronic Science and Technology of China
         Zezhong Zheng; University of Electronic Science and Technology of China
         Pingchuan Zhong; University of Electronic Science and Technology of China
         Mingcang Zhu; Land and Resources Department of Sichuan Province
         Yong He; Sichuan Institute of Geo-Environment Monitoring
         Zhenlu Yu; University of Electronic Science and Technology of China
         Na Wang; University of Electronic Science and Technology of China
         Ling Jiang; University of Electronic Science and Technology of China
         Guoqing Zhou; Guangxi Key Laboratory for Spatial Information and Geomatics
         Hongsheng Zhang; The Chinese University of Hong Kong
         Jiang Li; Old Dominion University