Author Info
Name
Affiliation
Papers
XU, Y.
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China (e-mail: xuyangth90@gmail.com).|c|
20
Collaborators
Citations 
PageRank 
38
68
7.82
Referers 
Referees 
References 
245
320
146
Search Limit
100320
Title
Citations
PageRank
Year
Hyperspectral Computational Imaging via Collaborative Tucker3 Tensor Decomposition20.402021
Anomaly Detection in Hyperspectral Image Using 3D-Convolutional Variational Autoencoder.00.342021
Spatial-Spectral Total Variation Constrained Collaborative Tensor Regularization for Dual-Camera Compressive Hyperspectral Imaging.00.342021
Hyperspectral Anomaly Detection Based on Tensor Truncated Nuclear Norm and Linear Total Variation Regularization.00.342021
Compressive Hyperspectral Image Reconstruction Based on Spatial–Spectral Residual Dense Network00.342020
Hyperspectral Images Super-Resolution via Learning High-Order Coupled Tensor Ring Representation40.382020
Nonlocal Coupled Tensor CP Decomposition for Hyperspectral and Multispectral Image Fusion.20.382020
Hyperspectral Anomaly Detection via Global and Local Joint Modeling of Background.00.342019
Nonlocal Patch Tensor Sparse Representation for Hyperspectral Image Super-Resolution.80.452019
Fourier-Based Rotation-Invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection.10.352019
Kernel Low-Rank Representation Based on Local Similarity for Hyperspectral Image Classification00.342019
Gas Plume Detection in Hyperspectral Video Sequence Using Tensor Nuclear Norm00.342018
Joint Reconstruction and Anomaly Detection From Compressive Hyperspectral Images Using Mahalanobis Distance-Regularized Tensor RPCA.70.432018
Low-Rank Decomposition and Total Variation Regularization of Hyperspectral Video Sequences.40.442018
Anomaly Detection in Hyperspectral Images Based on Low-Rank and Sparse Representation.290.762016
A Target Detection Method Based on Low-Rank Regularized Least Squares Model for Hyperspectral Images.10.352016
Kernel Low-Rank Representation For Hyperspectral Image Classification00.342016
A Novel Hyperspectral Image Anomaly Detection Method Based On Low Rank Representation10.362015
Spectral–Spatial Classification of Hyperspectral Image Based on Low-Rank Decomposition90.482015
Hyperspectral Image Classification Using Multilayer Superpixel Graph And Loopy Belief Propagation00.342015