Regularizing Subspace Representation for Fusing Hyperspectral and Multispectral Images by Yanhong Yang, Congcong Wang, Yuan Feng, Jianhua Zhang, Yuhui Zheng, Shengyong Chen

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Fusing Local and Global Information for One-Step Multi-View Subspace Clustering by Yiqiang Duan, Haoliang Yuan, Chun Sing Lai, Loi Lei Lai

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Hyperspectral Image Super-Resolution via Adaptive Factor Group Sparsity Regularization-Based Subspace Representation by Yidong Peng, Weisheng Li, Xiaobo Luo, Jiao Du

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Intrinsic Metric Learning With Subspace Representation by Lipeng Cai, Shihui Ying, Yaxin Peng, Changzhou He, Shaoyi Du

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Hyperspectral Image Super-Resolution via Sparsity Regularization-Based Spatial-Spectral Tensor Subspace Representation by Yidong Peng, Weisheng Li, Xiaobo Luo, Jiao Du

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Underdetermined Blind Source Separation With Multi-Subspace for Nonlinear Representation by Lu Wang, Tomoaki Ohtsuki

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Model-Guided Deep Unfolded Fusion Network With Nonlocal Spatial-Spectral Priors for Hyperspectral Image Super-Resolution by Abdolraheem Khader, Jingxiang Yang, Liang Xiao

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Hyperspectral Image Denoising via Nonlocal Spectral Sparse Subspace Representation by Hailin Wang, Jiangjun Peng, Xiangyong Cao, Jianjun Wang, Qibin Zhao, Deyu Meng

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T-Hy-Demosaicing: Hyperspectral Reconstruction Via Tensor Subspace Representation Under Orthogonal Transformation by Shan-Shan Xu, Ting-Zhu Huang, Jie Lin, Yong Chen

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A Comprehensive Application of Machine Learning Techniques for Short-Term Solar Radiation Prediction by Linhua Wang, Jiarong Shi

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Removal of Mixed Noise in Hyperspectral Images Based on Subspace Representation and Nonlocal Low-Rank Tensor Decomposition by Chun He, Youhua Wei, Ke Guo, Hongwei Han

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