| 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 | 789 | 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 | 555 | 2016 |
| Image super-resolution: The techniques, applications, and future L Yue, H Shen, J Li, Q Yuan, H Zhang, L Zhang Signal Processing 128, 389-408, 2016 | 505 | 2016 |
| A super-resolution reconstruction algorithm for surveillance images L Zhang, H Zhang, H Shen, P Li Signal Processing 90 (3), 848-859, 2010 | 387 | 2010 |
| A Nonlocal Weighted Joint Sparse Representation Classification Method for Hyperspectral Imagery H Zhang, J Li, Y Huang, L Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 316 | 2014 |
| Recovering Quantitative Remote Sensing Products Contaminated by Thick Clouds and Shadows Using Multi-temporal Dictionary Learning X Li, H Shen, L Zhang, H Zhang, Q Yuan, Y Gang IEEE Transactions on Geoscience and Remote Sensing 52 (11), 7086 - 7098, 2014 | 280 | 2014 |
| 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 Sensing, 2015 | 256 | 2015 |
| Hyperspectral anomaly detection by the use of background joint sparse representation J Li, H Zhang, L Zhang, L Ma IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 228 | 2015 |
| Spectral–Spatial Sparse Subspace Clustering for Hyperspectral Remote Sensing Images H Zhang, H Zhai, L Zhang, P Li IEEE Transactions on Geoscience and Remote Sensing, 2016 | 223 | 2016 |
| 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 | 218 | 2017 |
| 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 | 202 | 2018 |
| A super-resolution reconstruction algorithm for hyperspectral images H Zhang, L Zhang, H Shen Signal Processing 92 (9), 2082-2096, 2012 | 178 | 2012 |
| A Practical Compressed Sensing-Based Pan-Sharpening Method C Jiang, H Zhang, H Shen, L Zhang Geoscience and Remote Sensing Letters, IEEE 9 (4), 629-633, 2012 | 165 | 2012 |
| Hyperspectral image restoration using low-rank tensor recovery H Fan, Y Chen, Y Guo, H Zhang, G Kuang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 161 | 2017 |
| Efficient Superpixel-Level Multitask Joint Sparse Representation for Hyperspectral Image Classification J Li, H Zhang, L Zhang IEEE Trans. on Geoscience and Remote Sensing, 2015 | 147 | 2015 |
| Hyperspectral image classification by nonlocal joint collaborative representation with a locally adaptive dictionary J Li, H Zhang, Y Huang, L Zhang IEEE Transactions on Geoscience and Remote Sensing 52 (6), 3707-3719, 2014 | 146 | 2014 |
| Adjustable Model-Based Fusion Method for Multispectral and Panchromatic Images L Zhang, S Shen, W Gong, H Zhang IEEE Trans. on Systems, Man and Cybernetics, Part B 42 (6), 1693-1704, 2012 | 146 | 2012 |
| Non-local meets global: An iterative paradigm for hyperspectral image restoration W He, Q Yao, C Li, N Yokoya, Q Zhao, H Zhang, L Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (4), 2089-2107, 2020 | 144 | 2020 |
| 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 | 135 | 2020 |
| Two-Step Sparse Coding for the Pan-Sharpening of Remote Sensing Images C Jiang, H Zhang, H Shen, L Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 134 | 2014 |
