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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 | View/Download:7/0 | TC[WOS]:6 TC[Scopus]:9 | Submit date:2019/04/04
Feature extraction  multiscale feature histograms  principal component analysis (PCA)  quaternion Weber local descriptor (QWLD)  
Spectral-Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification Journal article
IEEE Geoscience and Remote Sensing Letters, 2019,Volume: 16,Issue: 2,Page: 241-245
Authors:  Qin A.;  Shang Z.;  Tian J.;  Wang Y.;  Zhang T.;  Tang Y.Y.
Favorite | View/Download:52/0 | TC[WOS]:2 TC[Scopus]:10 | Submit date:2019/02/11
Graph convolutional  hyperspectral image (HSI) classification  neural network  semisupervised learning  
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 | View/Download:20/0 | TC[WOS]:8 TC[Scopus]:12 | 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 | View/Download:25/0 | TC[WOS]:23 TC[Scopus]:30 | Submit date:2018/10/30
Hyperspectral Image Classification  Superpixel  3d Deep Neural Networks  
Edge-Smoothing-Based Distribution Preserving Hyperspherical Embedding for Hyperspectral Image Classification Journal article
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018,Volume: 11,Issue: 7,Page: 2501-2512
Authors:  Qin, Anyong;  Shang, Zhaowei;  Tian, Jinyu;  Zhang, Taiping;  Tang, Yuan Yan;  Qian, Jiye
Favorite | View/Download:25/0 | TC[WOS]:2 TC[Scopus]:3 | Submit date:2018/10/30
Dimensional reduction  distribution preserving embedding  edge-preserving smoothing  hyperspectral image (HSI) classification  unit hyperspherical manifold  
Edge-smoothing-based distribution preserving hyperspherical embedding for hyperspectral image classification Journal article
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018,Volume: 11,Issue: 7,Page: 2501-2512
Authors:  Qin A.;  Shang Z.;  Tian J.;  Zhang T.;  Tang Y.Y.;  Qian J.
Favorite | View/Download:4/0 | TC[WOS]:2 TC[Scopus]:3 | Submit date:2019/02/11
Dimensional reduction  distribution preserving embedding  edge-preserving smoothing  hyperspectral image (HSI) classification  unit hyperspherical manifold  
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 | View/Download:24/0 | TC[WOS]:11 TC[Scopus]:25 | Submit date:2018/10/30
hyperspectral imagery  classification  broad learning  semi-supervised  class-probability structure  
Wavelet-based extended morphological profile and deep autoencoder for hyperspectral image classification Journal article
INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2018,Volume: 16,Issue: 3
Authors:  Luo, Huiwu;  Tani, Yuan Yan;  Biuk-Aghai, Robert P.;  Yang, Xu;  Yang, Lina;  Wang, Yi
Favorite | View/Download:37/0 | TC[WOS]:2 TC[Scopus]:4 | Submit date:2018/10/30
Wavelet transform  deep autoencoder  neuronal network  mathematical morphology  feature extraction  
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 | View/Download:11/0 | TC[WOS]:11 TC[Scopus]:25 | Submit date:2019/02/11
Broad learning  Class-probability structure  Classification  Hyperspectral imagery  Semi-supervised  
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 | View/Download:817/71 | TC[WOS]:9 TC[Scopus]:17 | Submit date:2018/10/30
Lutein  Cyclodextrin  Multiple-component System  Molecular Dynamics Simulation  Bioavailability  Computer-aided Formulation Design