| Hyperspectral image restoration using low-rank matrix recovery H Zhang, W He, L Zhang, H Shen, Q Yuan IEEE Transactions on Geoscience and Remote Sensing 52 (8), 4729-4743, 2014 | 440 | 2014 |
| Total-variation-regularized low-rank matrix factorization for hyperspectral image restoration W He, H Zhang, L Zhang, H Shen IEEE transactions on geoscience and remote sensing 54 (1), 178-188, 2016 | 268 | 2016 |
| Hyperspectral image denoising via noise-adjusted iterative low-rank matrix approximation W He, H Zhang, L Zhang, H Shen IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 129 | 2015 |
| Total variation regularized reweighted sparse nonnegative matrix factorization for hyperspectral unmixing W He, H Zhang, L Zhang IEEE Transactions on Geoscience and Remote Sensing 55 (7), 3909-3921, 2017 | 86 | 2017 |
| Sparsity-regularized robust non-negative matrix factorization for hyperspectral unmixing W He, H Zhang, L Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 63 | 2016 |
| Hyperspectral image denoising using local low-rank matrix recovery and global spatial–spectral total variation W He, H Zhang, H Shen, L Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 55 | 2018 |
| Weighted sparse graph based dimensionality reduction for hyperspectral images W He, H Zhang, L Zhang, W Philips, W Liao IEEE Geoscience and Remote Sensing Letters 13 (5), 686-690, 2016 | 35 | 2016 |
| Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising W He, Q Yao, C Li, N Yokoya, Q Zhao Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019 | 31 | 2019 |
| Multi-temporal sentinel-1 and-2 data fusion for optical image simulation W He, N Yokoya ISPRS International Journal of Geo-Information 7 (10), 389, 2018 | 27 | 2018 |
| Remote sensing image reconstruction using tensor ring completion and total variation W He, N Yokoya, L Yuan, Q Zhao IEEE Transactions on Geoscience and Remote Sensing 57 (11), 8998-9009, 2019 | 24* | 2019 |
| Hyperspectral Image Restoration Using Weighted Group Sparsity-Regularized Low-Rank Tensor Decomposition Y Chen, W He, N Yokoya, TZ Huang IEEE transactions on cybernetics, 2019 | 17 | 2019 |
| Blind cloud and cloud shadow removal of multitemporal images based on total variation regularized low-rank sparsity decomposition Y Chen, W He, N Yokoya, TZ Huang ISPRS Journal of Photogrammetry and Remote Sensing 157, 93-107, 2019 | 14 | 2019 |
| Superpixel-based spatial-spectral dimension reduction for hyperspectral imagery classification H Xu, H Zhang, W He, L Zhang Neurocomputing 360, 138-150, 2019 | 14* | 2019 |
| Hyperspectral image denoising with total variation regularization and nonlocal low-rank tensor decomposition H Zhang, L Liu, W He, L Zhang IEEE Transactions on Geoscience and Remote Sensing 58 (5), 3071-3084, 2020 | 12 | 2020 |
| Nonlocal Tensor-Ring Decomposition for Hyperspectral Image Denoising Y Chen, W He, N Yokoya, TZ Huang, XL Zhao IEEE Transactions on Geoscience and Remote Sensing 58 (2), 1348-1362, 2019 | 8 | 2019 |
| A noise-adjusted iterative randomized singular value decomposition method for hyperspectral image denoising W He, H Zhang, L Zhang, H Shen 2014 IEEE Geoscience and Remote Sensing Symposium, 1536-1539, 2014 | 7 | 2014 |
| Guided deep decoder: Unsupervised image pair fusion T Uezato, D Hong, N Yokoya, W He European Conference on Computer Vision, 87-102, 2020 | 2 | 2020 |
| Hyperspectral Image Compressive Sensing Reconstruction Using Subspace-based Nonlocal Tensor Ring Decomposition Y Chen, TZ Huang, W He, N Yokoya, XL Zhao IEEE Transactions on Image Processing, 2020 | 2 | 2020 |
| Hyperspectral Super-Resolution via Coupled Tensor Ring Factorization W He, Y Chen, N Yokoya, C Li, Q Zhao arXiv preprint arXiv:2001.01547, 2020 | 2 | 2020 |
| Guaranteed Matrix Completion under Multiple Linear Transformations C Li, W He, L Yuan, Z Sun, Q Zhao IEEE Conference on Computer Vision and Pattern Recognition, 2019 | 2 | 2019 |
Hongyan ZhangFull Professor, Wuhan University在 whu.edu.cn 的电子邮件经过验证
