| 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 | 1291 | 2020 |
| Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors Z Li, H Shen, Q Cheng, Y Liu, S You, Z He ISPRS Journal of Photogrammetry and Remote Sensing 150, 197-212, 2019 | 341 | 2019 |
| Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery Z Li, H Shen, H Li, G Xia, P Gamba, L Zhang Remote Sensing of Environment 191, 342-358, 2017 | 286 | 2017 |
| An Urban Water Extraction Method Combining Deep Learning and Google Earth Engine Y Wang, Z Li, C Zeng, G Xia, H Shen IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 165 | 2020 |
| 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 | 159 | 2020 |
| Cloud and cloud shadow detection for optical satellite imagery: Features, algorithms, validation, and prospects Z Li, H Shen, Q Weng, Y Zhang, P Dou, L Zhang ISPRS Journal of Photogrammetry and Remote Sensing 188, 89-108, 2022 | 109 | 2022 |
| Estimation of ultrahigh resolution PM2. 5 concentrations in urban areas using 160 m Gaofen-1 AOD retrievals T Zhang, Z Zhu, W Gong, Z Zhu, K Sun, L Wang, Y Huang, F Mao, H Shen, ... Remote Sensing of Environment 216, 91-104, 2018 | 103 | 2018 |
| Combined deep prior with low-rank tensor SVD for thick cloud removal in multitemporal images Q Zhang, Q Yuan*, Z Li*, F Sun, L Zhang ISPRS Journal of Photogrammetry and Remote Sensing 177, 161-173, 2021 | 71 | 2021 |
| A Spatiotemporal Fusion Based Cloud Removal Method for Remote Sensing Images With Land Cover Changes H Shen, J Wu, Q Cheng, M Aihemaiti, C Zhang, Z Li IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 68 | 2019 |
| Thick Cloud Removal in High-Resolution Satellite Images Using Stepwise Radiometric Adjustment and Residual Correction Z Li, H Shen, Q Cheng, W Li, L Zhang Remote Sensing 11 (16), 1925, 2019 | 57 | 2019 |
| Time series remote sensing image classification framework using combination of deep learning and multiple classifiers system P Dou, H Shen, Z Li*, X Guan International Journal of Applied Earth Observation and Geoinformation 103 …, 2021 | 47 | 2021 |
| Cloud detection by fusing multi-scale convolutional features Z Li, H Shen, Y Wei, Q Cheng, Q Yuan ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information …, 2018 | 33 | 2018 |
| Generating high-quality and high-resolution seamless satellite imagery for large-scale urban regions X Li#, Z Li#, R Feng, S Luo, C Zhang, M Jiang, H Shen Remote Sensing 12 (1), 81, 2019 | 23 | 2019 |
| Remote sensing image classification using deep–shallow learning P Dou, H Shen, Z Li*, X Guan, W Huang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 17 | 2021 |
| Cloud removal by fusing multi-source and multi-temporal images C Zhang, Z Li, Q Cheng, X Li, H Shen IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2577 - 2580, 2017 | 15 | 2017 |
| Learning spectral-indices-fused deep models for time-series land use and land cover mapping in cloud-prone areas: The case of Pearl River Delta Z Li, Q Weng, Y Zhou, P Dou, X Ding Remote Sensing of Environment 308, 114190, 2024 | 7 | 2024 |
| Large-scale land use/land cover extraction from Landsat imagery using feature relationships matrix based deep-shallow learning P Dou, H Shen, C Huang, Z Li, Y Mao, X Li International Journal of Applied Earth Observation and Geoinformation 129 …, 2024 | 6 | 2024 |
| Transferring Deep Models for Cloud Detection in Multi-Sensor Images via Weakly Supervised Learning S Zhu, Z Li, H Shen IEEE Transactions on Geoscience and Remote Sensing 62, 5609518, 2024 | 4 | 2024 |
| A fast two-step algorithm for large-area thick cloud removal in high-resolution images S Zhu, Z Li, H Shen, D Lin Remote Sensing Letters 14 (1), 1-9, 2023 | 4 | 2023 |
| Automatic cloud and cloud shadow detection in GF-1 WFV imagery using multiple features Z Li, H Shen, H Li, L Zhang IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 7612-7615, 2016 | 3 | 2016 |
Huanfeng ShenProfessor, School of Resource and Environmental Science, Wuhan UniversityDirección de correo verificada de whu.edu.cn
