| Deep learning in environmental remote sensing: Achievements and challenges Q Yuan, H Shen, T Li, Z Li, S Li, Y Jiang, H Xu, W Tan, Q Yang, J Wang, ... Remote sensing of Environment 241, 111716, 2020 | 1134 | 2020 |
| 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, 2013 | 842 | 2013 |
| Hyperspectral Image Denoising Employing a Spectral–Spatial Adaptive Total Variation Model Q Yuan, L Zhang, H Shen IEEE Transaction On Geoscience and Remote Sensing 50 (10), 3660-3677, 2012 | 602 | 2012 |
| 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 | 557 | 2016 |
| A multiscale and multidepth convolutional neural network for remote sensing imagery pan-sharpening Q Yuan, Y Wei, X Meng, H Shen, L Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 517 | 2018 |
| Boosting the accuracy of multispectral image pansharpening by learning a deep residual network Y Wei, Q Yuan, H Shen, L Zhang IEEE Geoscience and Remote Sensing Letters 14 (10), 1795-1799, 2017 | 457 | 2017 |
| 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 | 438 | 2018 |
| Missing data reconstruction in remote sensing image with a unified spatial–temporal–spectral deep convolutional neural network Q Zhang, Q Yuan, C Zeng, X Li, Y Wei IEEE Transactions on Geoscience and Remote Sensing 56 (8), 4274-4288, 2018 | 422 | 2018 |
| Estimating Ground‐Level PM2.5 by Fusing Satellite and Station Observations: A Geo‐Intelligent Deep Learning Approach T Li, H Shen, Q Yuan, X Zhang, L Zhang Geophysical Research Letters 44 (23), 11,985-11,993, 2017 | 393 | 2017 |
| Recovering quantitative remote sensing products contaminated by thick clouds and shadows using multitemporal dictionary learning X Li, H Shen, L Zhang, H Zhang, Q Yuan, G Yang IEEE Transactions on Geoscience and Remote Sensing, 1-13, 2014 | 294 | 2014 |
| 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 | 219 | 2018 |
| Cloud removal for remotely sensed images by similar pixel replacement guided with a spatio-temporal MRF model Q Cheng, H Shen, L Zhang, Q Yuan, C Zeng ISPRS journal of photogrammetry and remote sensing 92, 54-68, 2014 | 213 | 2014 |
| Point-surface fusion of station measurements and satellite observations for mapping PM2. 5 distribution in China: Methods and assessment T Li, H Shen, C Zeng, Q Yuan, L Zhang Atmospheric Environment 152, 477-489, 2017 | 212 | 2017 |
| The Relationships between PM2.5 and Meteorological Factors in China: Seasonal and Regional Variations Q Yang, Q Yuan, T Li, H Shen, L Zhang International journal of environmental research and public health 14 (12), 1510, 2017 | 199 | 2017 |
| Multiframe Super-Resolution Employing a Spatially Weighted Total Variation Model Q Yuan, L Zhang, H Shen IEEE Transactions on Circuits and Systems for Video Technology, 22 (3), 379-392, 2012 | 191 | 2012 |
| An effective thin cloud removal procedure for visible remote sensing images H Shen, H Li, Y Qian, L Zhang, Q Yuan ISPRS Journal of Photogrammetry and Remote Sensing 96, 224-235, 2014 | 190 | 2014 |
| Satellite video super-resolution via multiscale deformable convolution alignment and temporal grouping projection Y Xiao, X Su, Q Yuan, D Liu, H Shen, L Zhang IEEE Transactions on Geoscience and Remote Sensing 60, 1-19, 2021 | 166 | 2021 |
| Hyperspectral Image Restoration via Iteratively Regularized Weighted Schatten-Norm Minimization Y Xie, Y Qu, D Tao, W Wu, Q Yuan, W Zhang IEEE Transactions on Geoscience and Remote Sensing 54 (8), 4642-4659, 2016 | 164 | 2016 |
| 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 | 153 | 2019 |
| 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 | 148 | 2020 |
Huanfeng ShenProfessor, School of Resource and Environmental Science, Wuhan UniversityVerified email at whu.edu.cn
