RESIDUAL SHUFFLING CONVOLUTIONAL NEURAL NETWORKS FOR DEEP SEMANTIC IMAGE SEGMENTATION USING MULTI-MODAL DATA
K. Chen,M. Weinmann,X. Gao,M. Yan,S. Hinz,B. Jutzi,and M. Weinmann
K. Chen
Key Laboratory of Spatial Information Processing and Application System Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, P.R. China
University of Chinese Academy of Sciences, Beijing, P.R. China
M. Weinmann
Institute of Computer Science II, University of Bonn, Bonn, Germany
X. Gao
Key Laboratory of Spatial Information Processing and Application System Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, P.R. China
M. Yan
Key Laboratory of Spatial Information Processing and Application System Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, P.R. China
S. Hinz
Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, Karlsruhe, Germany
B. Jutzi
Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, Karlsruhe, Germany
M. Weinmann
Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, Karlsruhe, Germany
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