IVMSP-41.4
MATERIAL-GUIDED SIAMESE FUSION NETWORK FOR HYPERSPECTRAL OBJECT TRACKING
Zhuanfeng Li, Fengchao Xiong, Jianfeng Lu, Nanjing University of Science and Technology, China; Jun Zhou, Griffith University, Australia; Yuntao Qian, College of Computer Science, China
Session:
Hypespectral Imaging
Track:
Image, Video, and Multidimensional Signal Processing
Location:
Gather Area I
Presentation Time:
Fri, 13 May, 21:00 - 21:45 China Time (UTC +8)
Fri, 13 May, 13:00 - 13:45 UTC
Fri, 13 May, 13:00 - 13:45 UTC
Session Chair:
Paul Chan, Institute for Infocomm Research, A*STAR
Session IVMSP-41
IVMSP-41.1: GRAPH LEARNING BASED AUTOENCODER FOR HYPERSPECTRAL BAND SELECTION
Yongshan Zhang, Zhenyu Wang, Xinwei Jiang, China University of Geosciences, China; Xinxin Wang, Yicong Zhou, University of Macau, China
IVMSP-41.2: MULTITASK SPARSE NEURAL NETWORK FOR HYPERSPECTRAL IMAGE DENOISING
Fengchao Xiong, Jianfeng Lu, Nanjing University of Science and Technology, China; Minchao Ye, China Jiliang University, China; Jun Zhou, Griffith University, Australia; Yuntao Qian, College of Computer Science, China
IVMSP-41.3: HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON CO-LEARNING THROUGH DUAL-ARCHITECTURE ENSEMBLE
Xiaoyue Chen, Xianghai Cao, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence, Xidian University, China
IVMSP-41.4: MATERIAL-GUIDED SIAMESE FUSION NETWORK FOR HYPERSPECTRAL OBJECT TRACKING
Zhuanfeng Li, Fengchao Xiong, Jianfeng Lu, Nanjing University of Science and Technology, China; Jun Zhou, Griffith University, Australia; Yuntao Qian, College of Computer Science, China
IVMSP-41.5: HYPERSPECTRAL IMAGE SUPER-RESOLUTION WITH DEEP PRIORS AND DEGRADATION MODEL INVERSION
Xiuheng Wang, Cédric Richard, Université Côte d'Azur, CNRS, OCA., France; Jie Chen, School of Marine Science and Technology, Northwestern Polytechnical University., China
IVMSP-41.6: GEOMETRIC LOW-RANK TENSOR APPROXIMATION FOR REMOTELY SENSED HYPERSPECTRAL AND MULTISPECTRAL IMAGERY FUSION
Na Liu, Wei Li, Ran Tao, Beijing Institute of Technology, China