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Spatial Perception Correntropy Matrix for Hyperspectral Image Classification Journal article
Applied Sciences (Switzerland), 2022,Volume: 12,Issue: 13
Authors:  Zhang, Guochao;  Cao, Weijia;  Wei, Yantao
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Correntropy Matrix  Feature Extraction  Hyperspectral Image Classification  Spatial Perception  Spectral-spatial Feature  
Hyperspectral Image Transformer Classification Networks Journal article
IEEE Transactions on Geoscience and Remote Sensing, 2022
Authors:  Yang, Xiaofei;  Cao, Weijia;  Lu, Yao;  Zhou, Yicong
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/05/17
3d Convolution Projection  Convolution  Convolution Neural Network  Data Mining  Feature Extraction  Hyperspectral Image Classification  Hyperspectral Imaging  Task Analysis  Three-dimensional Displays  Transformers  Transformers  
Local Correntropy Matrix Representation for Hyperspectral Image Classification Journal article
IEEE Transactions on Geoscience and Remote Sensing, 2022,Volume: 60
Authors:  Zhang, Xinyu;  Wei, Yantao;  Cao, Weijia;  Yao, Huang;  Peng, Jiangtao;  Zhou, Yicong
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Correntropy Matrix  Feature Extraction  Hyperspectral Image (Hsi) Classification  
Quality analysis and authentication of nutraceuticals using near IR (NIR) spectroscopy: A comprehensive review of novel trends and applications Journal article
Trends in Food Science and Technology, 2022,Volume: 123,Page: 290-309
Authors:  Nagy, Maii M.;  Wang, Shengpeng;  Farag, Mohamed A.
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Near Infrared (Nir)  Nutraceuticals  Quality Control  Targeted  Untargeted  
Deep High-Order Tensor Convolutional Sparse Coding for Hyperspectral Image Classification Journal article
IEEE Transactions on Geoscience and Remote Sensing, 2022,Volume: 60
Authors:  Cheng, Chunbo;  Li, Hong;  Peng, Jiangtao;  Cui, Wenjing;  Zhang, Liming
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Deep High-order Tensor Convolutional Sparse Coding (Csc)  Deep Learning  Graph-based Learning (Gsl)  Hyperspectral Image (Hsi) Classification  
Low-Rankness Guided Group Sparse Representation for Image Restoration Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2022
Authors:  Zha, Zhiyuan;  Wen, Bihan;  Yuan, Xin;  Zhou, Jiantao;  Zhu, Ce;  Kot, Alex Chichung
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Adaptation Models  Adaptively Adjusted Parameter  Alternating Minimization  Dictionaries  Image Denoising  Image Reconstruction  Image Restoration  Image Restoration  Low-rankness Guided Group Sparse Representation (Lgsr)  Minimization  Nonlocal Self-similarity (Nss).  Task Analysis  
Marginalized Graph Self-Representation for Unsupervised Hyperspectral Band Selection Journal article
IEEE Transactions on Geoscience and Remote Sensing, 2022,Volume: 60
Authors:  Zhang, Yongshan;  Wang, Xinxin;  Jiang, Xinwei;  Zhou, Yicong
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Graph Convolution  Hyperspectral Band Selection  Marginalized Corruption  Self-representation (Sr)  Unsupervised Learning  
A General Loss-Based Nonnegative Matrix Factorization for Hyperspectral Unmixing Journal article
IEEE Geoscience and Remote Sensing Letters, 2022,Volume: 19
Authors:  Peng, Jiangtao;  Sun, Weiwei;  Jiang, Fan;  Chen, Hong;  Zhou, Yicong;  Du, Qian
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General Loss  Hyperspectral Unmixing  Nonnegative Matrix Factorization (Nmf)  
Tensor-Based Robust Principal Component Analysis with Locality Preserving Graph and Frontal Slice Sparsity for Hyperspectral Image Classification Journal article
IEEE Transactions on Geoscience and Remote Sensing, 2022,Volume: 60
Authors:  Wang, Yingxu;  Li, Tianjun;  Chen, Long;  Yu, Yufeng;  Zhao, Yinping;  Zhou, Jin
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Frontal Slice Sparsity  Hyperspectral Image Classification  Locality Preserving Graph  Tensor-based Robust Principal Component Analysis (Pca)  
Multi-stage convolutional broad learning with block diagonal constraint for hyperspectral image classification Journal article
Remote Sensing, 2021,Volume: 13,Issue: 17
Authors:  Kong, Yi;  Wang, Xuesong;  Cheng, Yuhu;  Philip Chen, C. L.
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/12/08
Block Diagonal  Broad Learning System  Classification  Convolutional Neural Network  Hyperspectral Image