| Learning tensor low-rank representation for hyperspectral anomaly detection M Wang, Q Wang, D Hong, SK Roy, J Chanussot IEEE Transactions on Cybernetics 53 (1), 679-691, 2022 | 100 | 2022 |
| l₀-l₁ Hybrid Total Variation Regularization and its Applications on Hyperspectral Image Mixed Noise Removal and Compressed Sensing M Wang, Q Wang, J Chanussot, D Hong IEEE Transactions on Geoscience and Remote Sensing 59 (9), 7695-7710, 2021 | 66 | 2021 |
| Tensor Low-Rank Constraint and Total Variation for Hyperspectral Image Mixed Noise Removal M Wang, Q Wang, J Chanussot IEEE Journal of Selected Topics in Signal Processing 15 (3), 718-733, 2021 | 48 | 2021 |
| Tensor decompositions for hyperspectral data processing in remote sensing: A comprehensive review M Wang, D Hong, Z Han, J Li, J Yao, L Gao, B Zhang, J Chanussot IEEE Geoscience and Remote Sensing Magazine 11 (1), 26-72, 2023 | 47 | 2023 |
| Hyperspectral image mixed noise removal based on multidirectional low-rank modeling and spatial–spectral total variation M Wang, Q Wang, J Chanussot, D Li IEEE Transactions on Geoscience and Remote Sensing 59 (1), 488-507, 2020 | 43 | 2020 |
| Vision transformer with contrastive learning for remote sensing image scene classification M Bi, M Wang, Z Li, D Hong IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 28 | 2022 |
| Computer vision based object grasping 6DoF robotic arm using picamera V Kumar, Q Wang, W Minghua, S Rizwan, SM Shaikh, X Liu 2018 4th International Conference on Control, Automation and Robotics (ICCAR …, 2018 | 22 | 2018 |
| Learning double subspace representation for joint hyperspectral anomaly detection and noise removal M Wang, D Hong, B Zhang, L Ren, J Yao, J Chanussot IEEE Transactions on Geoscience and Remote Sensing 61, 1-17, 2023 | 15 | 2023 |
| Total variation regularized weighted tensor ring decomposition for missing data recovery in high-dimensional optical remote sensing images M Wang, Q Wang, J Chanussot, D Hong IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 13 | 2021 |
| L0 Gradient Regularized Low-Rank Tensor Model for Hyperspectral Image Denoising M Wang, Q Wang, J Chanussot 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2019 | 9 | 2019 |
| Sparse photoacoustic microscopy based on low-rank matrix approximation T Liu, M Sun, N Feng, M Wang, D Chen, Y Shen Chinese Optics Letters 14 (9), 091701, 2016 | 6 | 2016 |
| HADGSM: A Unified Nonconvex Framework for Hyperspectral Anomaly Detection L Ren, L Gao, M Wang, X Sun, J Chanussot IEEE Transactions on Geoscience and Remote Sensing, 2024 | 5 | 2024 |
| Hypergraph-regularized sparse representation for single color image super resolution M Wang, Q Wang Journal of Visual Communication and Image Representation 74, 102951, 2021 | 5 | 2021 |
| Hyperspectral anomaly detection using tensor low-rank representation M Wang, D Hong, Y Wu, L Gao, M Huang China Conference on Command and Control, 127-132, 2022 | 2 | 2022 |
| Weighted singular value thresholding for sparse photoacoustic microscopy M Wang, X Liu, Q Wang, M Sun, R Zhao, Z Wu 2017 IEEE International Instrumentation and Measurement Technology …, 2017 | 2 | 2017 |
| A Feature Fusion-Based Transformer Network for Hyperspectral Super-Resolution M Wang, B Zhang, J Li, L Ren, J Chanussot 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2023 | 1 | 2023 |
| Hyperspectral Simultaneous Anomaly Detection and Denoising: Insights from Integrative Perspective M Wang, L Gao, L Ren, X Sun, J Chanussot IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | | 2024 |
| Hyperspectral Anomaly Detection Via Nonconvex Low-Rank Representation L Ren, M Wang, X Sun, L Gao, M Huang 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2023 | | 2023 |
| Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing M WANG, D HONG, ZHU HAN, J LI, J YAO, L GAO, B ZHANG, ... | | |
