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Adaptive multi-scale deep neural networks with perceptual loss for panchromatic and multispectral images classification Journal article
Information Sciences, 2019,Volume: 490,Page: 1-17
Authors:  Shi,Cheng;  Pun,Chi Man
Favorite |  | TC[WOS]:16 TC[Scopus]:19 | Submit date:2021/03/11
Adaptive multi-scale learning  Convolutional neural networks  Perceptual loss  Spectral similarity constraint  Structure similarity constraint  
Quaternion-based multiscale analysis for feature extraction of hyperspectral images Journal article
IEEE Transactions on Signal Processing, 2019,Volume: 67,Issue: 6,Page: 1418-1430
Authors:  Li H.;  Li H.;  Zhang L.
Favorite |  | TC[WOS]:11 TC[Scopus]:12 | Submit date:2019/04/04
Feature extraction  multiscale feature histograms  principal component analysis (PCA)  quaternion Weber local descriptor (QWLD)  
A novel regularized nonnegative matrix factorization for spectral-spatial dimension reduction of hyperspectral imagery Journal article
IEEE Access, 2018,Volume: 6,Page: 77953-77964
Authors:  Yan W.;  Zhang B.;  Yang Z.
Favorite |  | TC[WOS]:3 TC[Scopus]:3 | Submit date:2019/04/04
Feature Extraction  Hyperspectral Images  Pattern Recognition  
Tensor Nuclear Norm-Based Low-Rank Approximation With Total Variation Regularization Journal article
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2018,Volume: 12,Issue: 6,Page: 1364-1377
Authors:  Chen, Yongyong;  Wang, Shuqin;  Zhou, Yicong
Favorite |  | TC[WOS]:18 TC[Scopus]:18 | Submit date:2019/01/17
Low-rank tensor approximation  tensor nuclear norm  hyper total variation  spatial-spectral total variation  image denoising  
Superpixel-based 3D deep neural networks for hyperspectral image classification Journal article
PATTERN RECOGNITION, 2018,Volume: 74,Page: 600-616
Authors:  Shi, Cheng;  Pun, Chi-Man
Favorite |  | TC[WOS]:41 TC[Scopus]:40 | Submit date:2018/10/30
Hyperspectral Image Classification  Superpixel  3d Deep Neural Networks  
Hyperspectral imagery classification based on semi-supervised broad learning system Journal article
Remote Sensing, 2018,Volume: 10,Issue: 5
Authors:  Kong Y.;  Wang X.;  Cheng Y.;  Chen C.L.P.
Favorite |  | TC[WOS]:42 TC[Scopus]:45 | Submit date:2019/02/11
Broad learning  Class-probability structure  Classification  Hyperspectral imagery  Semi-supervised  
Hyperspectral Imagery Classification Based on Semi-Supervised Broad Learning System Journal article
REMOTE SENSING, 2018,Volume: 10,Issue: 5
Authors:  Kong, Yi;  Wang, Xuesong;  Cheng, Yuhu;  Chen, C. L. Philip
Favorite |  | TC[WOS]:43 TC[Scopus]:45 | Submit date:2018/10/30
hyperspectral imagery  classification  broad learning  semi-supervised  class-probability structure  
Constrained Manifold Learning for Hyperspectral Imagery Visualization Journal article
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018,Volume: 11,Issue: 4,Page: 1213-1226
Authors:  Danping Liao;  Yuntao Qian;  Yuan Yan Tang
Favorite |  | TC[WOS]:9 TC[Scopus]:10 | Submit date:2018/10/30
Composite Kernel  Hyperspectral Image  Manifold Learning  Visualization  
Computer-Aided Formulation Design for a Highly Soluble Lutein-Cyclodextrin Multiple-Component Delivery System Journal article
MOLECULAR PHARMACEUTICS, 2018,Volume: 15,Issue: 4,Page: 1664-1673
Authors:  Zhao, Qianqian;  Miriyala, Nikhila;  Su, Yan;  Chen, Weijie;  Gao, Xuejiao;  Shao, Ling;  Yan, Ru;  Li, Haifeng;  Yao, Xiaojun;  Cao, Dongsheng;  Wang, Yitao;  Ouyang, Defang
View | Adobe PDF | Favorite |  | TC[WOS]:21 TC[Scopus]:24 | Submit date:2018/10/30
Lutein  Cyclodextrin  Multiple-component System  Molecular Dynamics Simulation  Bioavailability  Computer-aided Formulation Design  
Spectral-Spatial Shared Linear Regression for Hyperspectral Image Classification Journal article
IEEE TRANSACTIONS ON CYBERNETICS, 2017,Volume: 47,Issue: 4,Page: 934-945
Authors:  Yuan, Haoliang;  Tang, Yuan Yan
Favorite |  | TC[WOS]:22 TC[Scopus]:23 | Submit date:2018/10/30
Hyperspectral Image (Hsi) Classification  Linear Regression  Shared Model  Spatial Structure  Subspace Learning (Sl)