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TU2.R5.1: TWO-STEP ENSEMBLE BASED CLASS NOISE CLEANING METHOD FOR HYPERSPECTRAL IMAGE CLASSIFICATION
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| Wei Feng; School of Electronic Engineering, Xidian University |
| Yinghui Quan; School of Electronic Engineering, Xidian University |
| Gabriel Dauphin; Institut Galilée, University Paris XIII |
| Xian Zhong; School of Electronic Engineering, Xidian University |
| Qiang Li; Northwestern Polytechnical University |
| Mengdao Xing; Xidian University |
| Wenjiang Huang; Chinese Academy of Sciences |
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TU2.R5.2: A SUPERPIXEL-BASED FRAMEWORK FOR NOISY HYPERSPECTRAL IMAGE CLASSIFICATION
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| Peng Fu; Nanjing University of Science and Technology |
| Quansen Sun; Nanjing University of Science and Technology |
| Zexuan Ji; Nanjing University of Science and Technology |
| Leilei Geng; Shandong University of Finance and Economics |
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TU2.R5.3: HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON MULTISCALE SPATIAL AND SPECTRAL FEATURE NETWORK
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| Xu Tang; Xidian University |
| Fanbo Meng; Xidian University |
| Jingjing Ma; Xidian University |
| Xiangrong Zhang; Xidian University |
| Fang Liu; Nanjing University of Science and Technology |
| Qunnie Peng; Science and Technology on Electro-optic Control Laboratory |
| Licheng Jiao; Xidian University |
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TU2.R5.4: IMPROVING HYPERSPECTRAL IMAGE CLASSIFICATION USING GRAPH WAVELETS
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| Qipeng Qian; Shanghai Jiao Tong University |
| Xiaotian Fan; Zhejiang University |
| Minchao Ye; China Jiliang Universit |
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TU2.R5.5: JOINT GROUP SPARSE COLLABORATIVE REPRESENTATION FOR HYPERSPECTRAL IMAGE CLASSIFICATION
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| Qing Tian; Beijing Institute of Technology |
| Juan Zhao; Beijing Institute of Technology |
| Xia Bai; Beijing Institute of Technology |
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TU2.R5.6: PERONA-MALIK DIFFUSION DRIVEN CNN FOR SUPERVISED CLASSIFICATION OF HYPERSPECTRAL IMAGES
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| Ning Wen; Nanjing University of Science and Technology |
| Qichao Liu; Nanjing University of Science and Technology |
| Liang Xiao; Nanjing University of Science and Technology |
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TU2.R5.7: A DIRECTIONAL MESSAGE PROPAGATION CONVOLUTIONAL NEURAL NETWORK FOR HYPERSPECTRAL IMAGES CLASSIFICATION
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| Jian Yu; Nanjing University of Science and Technology |
| Qichao Liu; Nanjing University of Science and Technology |
| Liang Xiao; Nanjing University of Science and Technology |
| Zhihui Wei; Nanjing University of Science and Technology |
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TU2.R5.8: HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON TENSOR-TRAIN CONVOLUTIONAL LONG SHORT-TERM MEMORY
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| Wenshuai Hu; Southwest Jiaotong University |
| Hengchao Li; Southwest Jiaotong University |
| Tianyu Ma; Southwest Jiaotong University |
| Qian Du; Mississippi State University |
| Antonio Plaza; University of Extremadura |
| William J. Emery; University of Colorado |
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TU2.R5.9: ADAPTIVE NEIGHBORHOOD STRATEGY BASED GENERATIVE ADVERSARIAL NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION
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| Hongbo Liang; School of Computer Science and Engineering, North Minzu University |
| Wenxing Bao; School of Computer Science and Engineering, North Minzu University |
| Bingbing Lei; School of Computer Science and Engineering, North Minzu University |
| Jian Zhang; School of Computer Science and Engineering, North Minzu University |
| Kewen Qu; School of Computer Science and Engineering, North Minzu University |
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TU2.R5.10: HYPERSPECTRAL IMAGE CLASSIFICATION USING SPECTRAL-SPATIAL CONVOLUTIONAL NEURAL NETWORKS
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| Jakub Nalepa; KP Labs, Silesian University of Technology |
| Lukasz Tulczyjew; KP Labs, Silesian University of Technology |
| Michal Myller; KP Labs, Silesian University of Technology |
| Michal Kawulok; KP Labs, Silesian University of Technology |
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TU2.R5.11: SEGMENTING HYPERSPECTRAL IMAGES USING SPECTRAL CONVOLUTIONAL NEURAL NETWORKS IN THE PRESENCE OF NOISE
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| Jakub Nalepa; Silesian University of Technology, KP Labs |
| Marek Stanek; Silesian University of Technology |
