Anomaly detection in hyperspectral images based on low-rank and sparse representation Y Xu, Z Wu, J Li, A Plaza, Z Wei IEEE Transactions on Geoscience and Remote Sensing 54 (4), 1990-2000, 2016 | 495 | 2016 |
Nonlocal Patch Tensor Sparse Representation for Hyperspectral Image Super-Resolution Y Xu, Z Wu, J Chanussot, Z Wei IEEE Transactions on Image Processing, 2019 | 192 | 2019 |
Joint reconstruction and anomaly detection from compressive hyperspectral images using Mahalanobis distance-regularized tensor RPCA Y Xu, Z Wu, J Chanussot, Z Wei IEEE Transactions on Geoscience and Remote Sensing 56 (5), 2919-2930, 2018 | 149 | 2018 |
Nonlocal Coupled Tensor CP Decomposition for Hyperspectral and Multispectral Image Fusion Y Xu, Z Wu, J Chanussot, P Comon, Z Wei | 145 | 2019 |
Fourier-based Rotation-invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection X Wu, D Hong, J Chanussot, Y Xu, R Tao, Y Wang arXiv preprint arXiv:1905.11074, 2019 | 134 | 2019 |
Hyperspectral Images Super-Resolution via Learning High-Order Coupled Tensor Ring Representation Y Xu, Z Wu, J Chanussot, Z Wei IEEE Transactions on Neural Networks and Learning Systems, 2020 | 122 | 2020 |
Hyperspectral Anomaly Detection via Global and Local Joint Modeling of Background Z Wu, W Zhu, J Chanussot, Y Xu, S Osher IEEE TRANSACTIONS ON SIGNAL PROCESSING 67 (14), 2019 | 72 | 2019 |
Hyperspectral Anomaly Detection via Global and Local Joint Modeling of Background Z Wu, W Zhu, J Chanussot, Y Xu, S Osher IEEE Transactions on Signal Processing 67 (14), 3858-3869, 2019 | 72 | 2019 |
Spectral–spatial classification of hyperspectral image based on low-rank decomposition Y Xu, Z Wu, Z Wei IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 52 | 2015 |
Low-rank decomposition and total variation regularization of hyperspectral video sequences Y Xu, Z Wu, J Chanussot, M Dalla Mura, AL Bertozzi, Z Wei IEEE Transactions on Geoscience and Remote Sensing 56 (3), 1680-1694, 2018 | 44 | 2018 |
Hyperspectral Computational Imaging via Collaborative Tucker3 Tensor Decomposition Y Xu, Z Wu, J Chanussot, Z Wei IEEE Transactions on Circuits and Systems for Video Technology, 2020 | 42 | 2020 |
SSCNN-S: A Spectral-Spatial Convolution Neural Network with Siamese Architecture for Change Detection T Zhan, B Song, Y Xu, M Wan, X Wang, G Yang, Z Wu Remote Sensing 13 (5), 895, 2021 | 41 | 2021 |
A Lightweight Spectral–Spatial Feature Extraction and Fusion Network for Hyperspectral Image Classification L Chen, Z Wei, Y Xu Remote Sensing 12 (9), 1395, 2020 | 34 | 2020 |
A Target Detection Method Based on Low-Rank Regularized Least Squares Model for Hyperspectral Images. Y Xu, Z Wu, F Xiao, T Zhan, Z Wei IEEE Geosci. Remote Sensing Lett. 13 (8), 1129-1133, 2016 | 31 | 2016 |
Panchromatic and hyperspectral image fusion: Outcome of the 2022 whispers hyperspectral pansharpening challenge G Vivone, A Garzelli, Y Xu, W Liao, J Chanussot IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 29 | 2022 |
Multi-Objective Task Scheduling for Energy-Efficient Cloud Implementation of Hyperspectral Image Classification J Sun, H Li, Y Zhang, Y Xu, Y Zhu, Q Zang, Z Wu, Z Wei IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 | 29 | 2020 |
Hyperspectral Classification via Superpixel Kernel Learning-Based Low Rank Representation T Zhan, L Sun, Y Xu, G Yang, Y Zhang, Z Wu Remote Sensing 10 (10), 1639, 2018 | 22 | 2018 |
A Two-Stream Multiscale Deep Learning Architecture for Pan-Sharpening J Wei, Y Xu, W Cai, Z Wu, J Chanussot, Z Wei IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 21 | 2020 |
Hyperspectral and multispectral image fusion based on deep attention network Q Yang, Y Xu, Z Wu, Z Wei 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2019 | 21 | 2019 |
DCFF-Net: A Densely Connected Feature Fusion Network for Change Detection in High-Resolution Remote Sensing Images F Pan, Z Wu, Q Liu, Y Xu, Z Wei IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 20 | 2021 |