| 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 | 572 | 2016 |
| High-quality seamless DEM generation blending SRTM-1, ASTER GDEM v2 and ICESat/GLAS observations L Yue, H Shen, L Zhang, X Zheng, F Zhang, Q Yuan ISPRS Journal of Photogrammetry and Remote Sensing 123, 20-34, 2017 | 150 | 2017 |
| The relationships between PM2. 5 and aerosol optical depth (AOD) in mainland China: About and behind the spatio-temporal variations Q Yang, Q Yuan, L Yue, T Li, H Shen, L Zhang Environmental Pollution 248, 526-535, 2019 | 144 | 2019 |
| Adaptive norm selection for regularized image restoration and super-resolution H Shen, L Peng, L Yue, Q Yuan, L Zhang IEEE transactions on cybernetics 46 (6), 1388-1399, 2015 | 73 | 2015 |
| A locally adaptive L1− L2 norm for multi-frame super-resolution of images with mixed noise and outliers L Yue, H Shen, Q Yuan, L Zhang Signal Processing 105, 156-174, 2014 | 72 | 2014 |
| Global DEMs vary from one to another: an evaluation of newly released Copernicus, NASA and AW3D30 DEM on selected terrains of China using ICESat-2 altimetry data H Li, J Zhao, B Yan, L Yue, L Wang International Journal of Digital Earth 15 (1), 1149-1168, 2022 | 65 | 2022 |
| GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality MK Lehmann, D Gurlin, N Pahlevan, K Alikas, T Conroy, J Anstee, ... Scientific data 10 (1), 100, 2023 | 53 | 2023 |
| Estimating snow depth by combining satellite data and ground-based observations over Alaska: A deep learning approach J Wang, Q Yuan, H Shen, T Liu, T Li, L Yue, X Shi, L Zhang Journal of Hydrology 585, 124828, 2020 | 52 | 2020 |
| Investigation of the spatially varying relationships of PM2. 5 with meteorology, topography, and emissions over China in 2015 by using modified geographically weighted regression Q Yang, Q Yuan, L Yue, T Li Environmental Pollution 262, 114257, 2020 | 46 | 2020 |
| Downscaling of soil moisture products using deep learning: Comparison and analysis on Tibetan Plateau H Zhao, J Li, Q Yuan, L Lin, L Yue, H Xu Journal of Hydrology 607, 127570, 2022 | 41 | 2022 |
| Fusion of multi-scale DEMs using a regularized super-resolution method L Yue, H Shen, Q Yuan, L Zhang International Journal of Geographical Information Science 29 (12), 2095-2120, 2015 | 41 | 2015 |
| Mapping PM2. 5 concentration at a sub-km level resolution: A dual-scale retrieval approach Q Yang, Q Yuan, L Yue, T Li, H Shen, L Zhang ISPRS Journal of Photogrammetry and Remote Sensing 165, 140-151, 2020 | 40 | 2020 |
| Monitoring the variation of vegetation water content with machine learning methods: Point–surface fusion of MODIS products and GNSS-IR observations Q Yuan, S Li, L Yue, T Li, H Shen, L Zhang Remote Sensing 11 (12), 1440, 2019 | 35 | 2019 |
| Mapping PM2. 5 concentration at high resolution using a cascade random forest based downscaling model: Evaluation and application Q Yang, Q Yuan, T Li, L Yue Journal of Cleaner Production 277, 123887, 2020 | 32 | 2020 |
| Void filling of digital elevation models with a terrain texture learning model based on generative adversarial networks Z Qiu, L Yue, X Liu Remote Sensing 11 (23), 2829, 2019 | 27 | 2019 |
| An improved ANUDEM method combining topographic correction and DEM interpolation X Zheng, H Xiong, L Yue, J Gong Geocarto International 31 (5), 492-505, 2016 | 25 | 2016 |
| A robust channel network extraction method combining discrete curve evolution and the skeleton construction technique X Zheng, H Xiong, J Gong, L Yue Advances in Water Resources 83, 17-27, 2015 | 23 | 2015 |
| A morphologically preserved multi-resolution TIN surface modeling and visualization method for virtual globes X Zheng, H Xiong, J Gong, L Yue ISPRS Journal of Photogrammetry and Remote Sensing 129, 41-54, 2017 | 21 | 2017 |
| Automatic semi-global artificial shoreline subpixel localization algorithm for Landsat imagery Y Song, F Liu, F Ling, L Yue Remote Sensing 11 (15), 1779, 2019 | 20 | 2019 |
| A fully automatic and high-accuracy surface water mapping framework on Google Earth Engine using Landsat time-series L Yue, B Li, S Zhu, Q Yuan, H Shen International Journal of Digital Earth 16 (1), 210-233, 2023 | 16 | 2023 |
Qiangqiang YuanFull Professor in School of Geodesy and Geomatics, Wuhan universityEmail verificata su sgg.whu.edu.cn