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 | 591 | 2016 |
Hyperspectral image denoising employing a spatial–spectral deep residual convolutional neural network Q Yuan, Q Zhang, J Li, H Shen, L Zhang IEEE Transactions on Geoscience and Remote Sensing 57 (2), 1205-1218, 2018 | 452 | 2018 |
Learning a dilated residual network for SAR image despeckling Q Zhang, Q Yuan, J Li, Z Yang, X Ma Remote Sensing 10 (2), 196, 2018 | 234 | 2018 |
Thick cloud and cloud shadow removal in multitemporal imagery using progressively spatio-temporal patch group deep learning Q Zhang, Q Yuan, J Li, Z Li, H Shen, L Zhang ISPRS Journal of Photogrammetry and Remote Sensing 162, 148-160, 2020 | 160 | 2020 |
Hybrid noise removal in hyperspectral imagery with a spatial–spectral gradient network Q Zhang, Q Yuan, J Li, X Liu, H Shen, L Zhang IEEE Transactions on Geoscience and Remote Sensing 57 (10), 7317-7329, 2019 | 156 | 2019 |
Cloud removal with fusion of high resolution optical and SAR images using generative adversarial networks J Gao, Q Yuan, J Li, H Zhang, X Su Remote Sensing 12 (1), 191, 2020 | 144 | 2020 |
Scene-adaptive remote sensing image super-resolution using a multiscale attention network S Zhang, Q Yuan, J Li, J Sun, X Zhang IEEE Transactions on Geoscience and Remote Sensing 58 (7), 4764-4779, 2020 | 119 | 2020 |
Long time-series NDVI reconstruction in cloud-prone regions via spatio-temporal tensor completion D Chu, H Shen, X Guan, JM Chen, X Li, J Li, L Zhang Remote Sensing of Environment 264, 112632, 2021 | 108 | 2021 |
Noise removal from hyperspectral image with joint spectral–spatial distributed sparse representation J Li, Q Yuan, H Shen, L Zhang IEEE Transactions on Geoscience and Remote Sensing 54 (9), 5425-5439, 2016 | 97 | 2016 |
Hyperspectral image super-resolution by spectral mixture analysis and spatial–spectral group sparsity J Li, Q Yuan, H Shen, X Meng, L Zhang IEEE Geoscience and Remote Sensing Letters 13 (9), 1250-1254, 2016 | 96 | 2016 |
A spectral grouping and attention-driven residual dense network for hyperspectral image super-resolution D Liu, J Li, Q Yuan IEEE Transactions on Geoscience and Remote Sensing 59 (9), 7711-7725, 2021 | 89 | 2021 |
Spectral response function-guided deep optimization-driven network for spectral super-resolution J He, J Li, Q Yuan, H Shen, L Zhang IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4213-4227, 2021 | 87 | 2021 |
Spatial–spectral fusion by combining deep learning and variational model H Shen, M Jiang, J Li, Q Yuan, Y Wei, L Zhang IEEE Transactions on Geoscience and Remote Sensing 57 (8), 6169-6181, 2019 | 81 | 2019 |
A residual convolutional neural network for polarimetric SAR image super-resolution H Shen, L Lin, J Li, Q Yuan, L Zhao ISPRS Journal of Photogrammetry and Remote Sensing 161, 90-108, 2020 | 71 | 2020 |
SAR image despeckling employing a recursive deep CNN prior H Shen, C Zhou, J Li, Q Yuan IEEE Transactions on Geoscience and Remote Sensing 59 (1), 273-286, 2020 | 70 | 2020 |
A differential information residual convolutional neural network for pansharpening M Jiang, H Shen, J Li, Q Yuan, L Zhang ISPRS Journal of Photogrammetry and Remote Sensing 163, 257-271, 2020 | 63 | 2020 |
DEM generation from contours and a low-resolution DEM X Li, H Shen, R Feng, J Li, L Zhang ISPRS Journal of Photogrammetry and Remote Sensing 134, 135-147, 2017 | 55 | 2017 |
Deep spatio-spectral Bayesian posterior for hyperspectral image non-iid noise removal Q Zhang, Q Yuan, J Li, F Sun, L Zhang ISPRS Journal of Photogrammetry and Remote Sensing 164, 125-137, 2020 | 54 | 2020 |
Spectral super-resolution meets deep learning: Achievements and challenges J He, Q Yuan, J Li, Y Xiao, D Liu, H Shen, L Zhang Information Fusion 97, 101812, 2023 | 52 | 2023 |
Generating seamless global daily AMSR2 soil moisture (SGD-SM) long-term products for the years 2013–2019 Q Zhang, Q Yuan, J Li, Y Wang, F Sun, L Zhang Earth System Science Data 13 (3), 1385-1401, 2021 | 51 | 2021 |