Hyperspectral Images Super-Resolution via Learning High-Order Coupled Tensor Ring Representation
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Jocelyn Chanussot | Yang Xu | Zhihui Wei | Zebin Wu | J. Chanussot | Zebin Wu | Zhihui Wei | Yang Xu
[1] Pierre Comon,et al. Tensors : A brief introduction , 2014, IEEE Signal Processing Magazine.
[2] Antonio J. Plaza,et al. Anomaly Detection in Hyperspectral Images Based on Low-Rank and Sparse Representation , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[3] Liqing Zhang,et al. Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] V. Aggarwal,et al. Efficient Low Rank Tensor Ring Completion , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[5] Guangming Shi,et al. Hyperspectral Image Super-Resolution via Non-Negative Structured Sparse Representation , 2016, IEEE Transactions on Image Processing.
[6] A. Bruckstein,et al. K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation , 2005 .
[7] Shutao Li,et al. Hyperspectral Image Super-Resolution via Non-local Sparse Tensor Factorization , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Johan A. K. Suykens,et al. Parallelized Tensor Train Learning of Polynomial Classifiers , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[9] Yandong Tang,et al. A Generalized Model for Robust Tensor Factorization With Noise Modeling by Mixture of Gaussians , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[10] Le Sun,et al. Low Rank Component Induced Spatial-Spectral Kernel Method for Hyperspectral Image Classification , 2020, IEEE Transactions on Circuits and Systems for Video Technology.
[11] Yuan Xie,et al. Hyperspectral Image Restoration via Iteratively Regularized Weighted Schatten $p$-Norm Minimization , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[12] Naoto Yokoya,et al. Hyperspectral and Multispectral Data Fusion: A comparative review of the recent literature , 2017, IEEE Geoscience and Remote Sensing Magazine.
[13] Boxin Shi,et al. Self-Similarity Constrained Sparse Representation for Hyperspectral Image Super-Resolution , 2018, IEEE Transactions on Image Processing.
[14] Naoto Yokoya,et al. An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing , 2018, IEEE Transactions on Image Processing.
[15] Qi Wang,et al. Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[16] Xiangtao Zheng,et al. Joint Dictionary Learning for Multispectral Change Detection , 2017, IEEE Transactions on Cybernetics.
[17] Ivan Oseledets,et al. Tensor-Train Decomposition , 2011, SIAM J. Sci. Comput..
[18] Huachun Tan,et al. A Fused CP Factorization Method for Incomplete Tensors , 2019, IEEE Transactions on Neural Networks and Learning Systems.
[19] Naoto Yokoya,et al. Hyperspectral Pansharpening: A Review , 2015, IEEE Geoscience and Remote Sensing Magazine.
[20] Qingshan Liu,et al. Cascaded Recurrent Neural Networks for Hyperspectral Image Classification , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[21] Shutao Li,et al. Deep Hyperspectral Image Sharpening , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[22] Jocelyn Chanussot,et al. A Convex Formulation for Hyperspectral Image Superresolution via Subspace-Based Regularization , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[23] Yunming Ye,et al. MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[24] Tamara G. Kolda,et al. Tensor Decompositions and Applications , 2009, SIAM Rev..
[25] Yan Liu,et al. Weighted Schatten $p$ -Norm Minimization for Image Denoising and Background Subtraction , 2015, IEEE Transactions on Image Processing.
[26] Zhetao Li,et al. Three-Dimensional Attention-Based Deep Ranking Model for Video Highlight Detection , 2018, IEEE Transactions on Multimedia.
[27] Yong Luo,et al. Tensor Canonical Correlation Analysis for Multi-View Dimension Reduction , 2015, IEEE Transactions on Knowledge and Data Engineering.
[28] Xiao Xiang Zhu,et al. Object-Based Multipass InSAR via Robust Low-Rank Tensor Decomposition , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[29] Shutao Li,et al. Learning a Low Tensor-Train Rank Representation for Hyperspectral Image Super-Resolution , 2019, IEEE Transactions on Neural Networks and Learning Systems.
[30] Shuyuan Yang,et al. Multispectral and Hyperspectral Image Fusion Based on Group Spectral Embedding and Low-Rank Factorization , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[31] Dong Xu,et al. Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey , 2018, IEEE Signal Processing Magazine.
[32] Konrad Schindler,et al. Hyperspectral Super-Resolution by Coupled Spectral Unmixing , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[33] Andrzej Cichocki,et al. Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions , 2016, Found. Trends Mach. Learn..
[34] Jun Li,et al. Feature-Driven Active Learning for Hyperspectral Image Classification , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[35] Yuan Xie,et al. On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization , 2016, International Journal of Computer Vision.
[36] Shutao Li,et al. Super-resolution of hyperspectral image via superpixel-based sparse representation , 2018, Neurocomputing.
[37] Naoto Yokoya,et al. Hyperspectral Super-Resolution of Locally Low Rank Images From Complementary Multisource Data , 2014, IEEE Transactions on Image Processing.
[38] Shutao Li,et al. Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization , 2018, IEEE Transactions on Image Processing.
[39] Naoto Yokoya,et al. Coupled Nonnegative Matrix Factorization Unmixing for Hyperspectral and Multispectral Data Fusion , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[40] Yoichi Sato,et al. Hyperspectral Image Super-Resolution With a Mosaic RGB Image , 2018, IEEE Transactions on Image Processing.
[41] Yong Yu,et al. Robust Recovery of Subspace Structures by Low-Rank Representation , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[42] Chao Li,et al. Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion , 2018, AAAI.
[43] Lei Zhang,et al. Exploiting Clustering Manifold Structure for Hyperspectral Imagery Super-Resolution , 2018, IEEE Transactions on Image Processing.
[44] Liqing Zhang,et al. Bayesian Robust Tensor Factorization for Incomplete Multiway Data , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[45] Jean-Yves Tourneret,et al. Hyperspectral and Multispectral Image Fusion Based on a Sparse Representation , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[46] Masashi Sugiyama,et al. Learning Efficient Tensor Representations with Ring-structured Networks , 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[47] Liqing Zhang,et al. Tensor Ring Decomposition , 2016, ArXiv.
[48] Masashi Sugiyama,et al. Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives , 2017, Found. Trends Mach. Learn..
[49] Qinghua Hu,et al. Generalized Latent Multi-View Subspace Clustering , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[50] M. Elad,et al. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.
[51] Liang Xiao,et al. Supervised Spectral–Spatial Hyperspectral Image Classification With Weighted Markov Random Fields , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[52] Bruno Aiazzi,et al. Improving Component Substitution Pansharpening Through Multivariate Regression of MS $+$Pan Data , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[53] Xuelong Li,et al. General Tensor Discriminant Analysis and Gabor Features for Gait Recognition , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[54] Nikos D. Sidiropoulos,et al. Hyperspectral Super-Resolution Via Coupled Tensor Factorization: Identifiability and Algorithms , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[55] Nikos D. Sidiropoulos,et al. Tensor Decomposition for Signal Processing and Machine Learning , 2016, IEEE Transactions on Signal Processing.
[56] Nikos D. Sidiropoulos,et al. Hyperspectral Super-Resolution: Combining Low Rank Tensor and Matrix Structure , 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).
[57] Antonio J. Plaza,et al. Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[58] Ajmal S. Mian,et al. Bayesian sparse representation for hyperspectral image super resolution , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[59] Menas Kafatos,et al. Wavelet-based hyperspectral and multispectral image fusion , 2001, SPIE Defense + Commercial Sensing.