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Bipartite Graph-based Projected Clustering with Local Region Guidance for Hyperspectral Imagery Journal article
Zhang, Yongshan, Jiang, Guozhu, Cai, Zhihua, Zhou, Yicong. Bipartite Graph-based Projected Clustering with Local Region Guidance for Hyperspectral Imagery[J]. IEEE Transactions on Multimedia, 2024, 26, 9551-9563.
Authors:  Zhang, Yongshan;  Jiang, Guozhu;  Cai, Zhihua;  Zhou, Yicong
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:8.4/8.0 | Submit date：2024/05/16
Hyperspectral Imagery  Bipartite Graph  Projected Clustering  Superpixel Segmentation  
Stacked Graph Fusion Denoising Autoencoder for Hyperspectral Anomaly Detection Journal article
Zhang, Yongshan, Li, Yijiang, Wang, Xinxin, Jiang, Xinwei, Zhou, Yicong. Stacked Graph Fusion Denoising Autoencoder for Hyperspectral Anomaly Detection[J]. IEEE Geoscience and Remote Sensing Letters, 2024, 21, 5507405.
Authors:  Zhang, Yongshan;  Li, Yijiang;  Wang, Xinxin;  Jiang, Xinwei;  Zhou, Yicong
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:4.0/4.4 | Submit date：2024/07/04
Anomaly Detection  Anomaly Detection  Denoising Autoencoder  Detectors  Geoscience And Remote Sensing  Graph Neural Network  Hyperspectral Imagery  Hyperspectral Imaging  Image Edge Detection  Noise Reduction  Training  
Hyperspectral Image Super-Resolution via Deep Progressive Zero-Centric Residual Learning Journal article
Zhiyu Zhu, Junhui Hou, Jie Chen, Huanqiang Zeng, Jiantao Zhou. Hyperspectral Image Super-Resolution via Deep Progressive Zero-Centric Residual Learning[J]. IEEE Transactions on Image Processing, 2023, 30, 1423-1438.
Authors:  Zhiyu Zhu;  Junhui Hou;  Jie Chen;  Huanqiang Zeng;  Jiantao Zhou
Adobe PDF | Favorite | TC[WOS]:59 TC[Scopus]:65  IF:10.8/12.1 | Submit date：2021/03/11
Hyperspectral Imagery  Super-resolution  Image Fusion  Deep Learning  Zero-mean Normalization  Cross-modality  
Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolution Journal article
Jinhui Hou, Zhiyu Zhu, Junhui Hou, Huanqiang Zeng, Jinjian Wu, Jiantao Zhou. Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolution[J]. IEEE Transactions on Image Processing, 2022, 31, 5720-5732.
Authors:  Jinhui Hou;  Zhiyu Zhu;  Junhui Hou;  Huanqiang Zeng;  Jinjian Wu; et al.
Favorite | TC[WOS]:14 TC[Scopus]:14  IF:10.8/12.1 | Submit date：2022/08/21
Hyperspectral Imagery  Deep Learning  Super-resolution  Convolution  High-dimensional Feature Extraction  Probability  
Spectral-Spatial Feature Extraction With Dual Graph Autoencoder for Hyperspectral Image Clustering Journal article
Zhang, Yongshan, Wang, Yang, Chen, Xiaohong, Jiang, Xinwei, Zhou, Yicong. Spectral-Spatial Feature Extraction With Dual Graph Autoencoder for Hyperspectral Image Clustering[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 32(12), 8500-8511.
Authors:  Zhang, Yongshan;  Wang, Yang;  Chen, Xiaohong;  Jiang, Xinwei;  Zhou, Yicong
Favorite | TC[WOS]:28 TC[Scopus]:36  IF:8.3/7.1 | Submit date：2023/01/30
Autoencoder  Dimensionality Reduction  Feature Extraction  Graph Convolution  Hyperspectral Imagery  
Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band Selection Journal article
Zhang, Yongshan, Wang, Xinxin, Jiang, Xinwei, Zhou, Yicong. Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band Selection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60.
Authors:  Zhang, Yongshan;  Wang, Xinxin;  Jiang, Xinwei;  Zhou, Yicong
Favorite | TC[WOS]:5 TC[Scopus]:3  IF:7.5/7.6 | Submit date：2023/01/30
Band Selection  Graph Convolution  Hyperspectral Imagery  Self-representation  Unsupervised Learning  
Hyperspectral Imagery Classification Based on Semi-Supervised Broad Learning System Journal article
Kong, Yi, Wang, Xuesong, Cheng, Yuhu, Chen, C. L. Philip. Hyperspectral Imagery Classification Based on Semi-Supervised Broad Learning System[J]. REMOTE SENSING, 2018, 10(5).
Authors:  Kong, Yi;  Wang, Xuesong;  Cheng, Yuhu;  Chen, C. L. Philip
Favorite | TC[WOS]:76 TC[Scopus]:84  IF:4.2/4.9 | Submit date：2018/10/30
Hyperspectral Imagery  Classification  Broad Learning  Semi-supervised  Class-probability Structure  
Hyperspectral imagery classification based on semi-supervised broad learning system Journal article
Kong Y., Wang X., Cheng Y., Chen C.L.P.. Hyperspectral imagery classification based on semi-supervised broad learning system[J]. Remote Sensing, 2018, 10(5).
Authors:  Kong Y.;  Wang X.;  Cheng Y.;  Chen C.L.P.
Favorite | TC[WOS]:76 TC[Scopus]:84 | Submit date：2019/02/11
Broad Learning  Class-probability Structure  Classification  Hyperspectral Imagery  Semi-supervised  
Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery Journal article
Qian, Yuntao, Xiong, Fengchao, Zeng, Shan, Zhou, Jun, Tang, Yuan Yan. Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(3), 1776-1792.
Authors:  Qian, Yuntao;  Xiong, Fengchao;  Zeng, Shan;  Zhou, Jun;  Tang, Yuan Yan
Favorite | TC[WOS]:144 TC[Scopus]:157  IF:7.5/7.6 | Submit date：2018/10/30
Hyperspectral Imagery (Hsi)  Spectral Unmixing  Spectral-spatial Structure  Tensor Factorization