| A deeply supervised attention metric-based network and an open aerial image dataset for remote sensing change detection Q Shi, M Liu, S Li, X Liu, F Wang, L Zhang IEEE transactions on geoscience and remote sensing 60, 1-16, 2021 | 561 | 2021 |
| Few-shot hyperspectral image classification with unknown classes using multitask deep learning S Liu, Q Shi, L Zhang IEEE Transactions on Geoscience and Remote Sensing 59 (6), 5085-5102, 2020 | 232 | 2020 |
| Building footprint extraction from high-resolution images via spatial residual inception convolutional neural network P Liu, X Liu, M Liu, Q Shi, J Yang, X Xu, Y Zhang Remote Sensing 11 (7), 830, 2019 | 206 | 2019 |
| Hyperspectral image denoising using a 3-D attention denoising network Q Shi, X Tang, T Yang, R Liu, L Zhang IEEE Transactions on Geoscience and Remote Sensing 59 (12), 10348-10363, 2021 | 177 | 2021 |
| EC-SAGINs: Edge-computing-enhanced space–air–ground-integrated networks for internet of vehicles S Yu, X Gong, Q Shi, X Wang, X Chen IEEE Internet of Things Journal 9 (8), 5742-5754, 2021 | 165 | 2021 |
| Scene-driven multitask parallel attention network for building extraction in high-resolution remote sensing images H Guo, Q Shi, B Du, L Zhang, D Wang, H Ding IEEE Transactions on Geoscience and Remote Sensing 59 (5), 4287-4306, 2020 | 154 | 2020 |
| Deep building footprint update network: A semi-supervised method for updating existing building footprint from bi-temporal remote sensing images H Guo, Q Shi, A Marinoni, B Du, L Zhang Remote Sensing of Environment 264, 112589, 2021 | 152 | 2021 |
| Super-resolution-based change detection network with stacked attention module for images with different resolutions M Liu, Q Shi, A Marinoni, D He, X Liu, L Zhang IEEE Transactions on Geoscience and Remote Sensing 60, 1-18, 2021 | 143 | 2021 |
| Local climate zone mapping as remote sensing scene classification using deep learning: A case study of metropolitan China S Liu, Q Shi ISPRS Journal of Photogrammetry and Remote Sensing 164, 229-242, 2020 | 123 | 2020 |
| Road detection from remote sensing images by generative adversarial networks Q Shi, X Liu, X Li IEEE access 6, 25486-25494, 2017 | 107 | 2017 |
| Iterative reweighting heterogeneous transfer learning framework for supervised remote sensing image classification X Li, L Zhang, B Du, L Zhang, Q Shi IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 101 | 2017 |
| Characterizing soil salinity at multiple depth using electromagnetic induction and remote sensing data with random forests: A case study in Tarim River Basin of southern … F Wang, S Yang, Y Wei, Q Shi, J Ding Science of the Total Environment 754, 142030, 2021 | 97 | 2021 |
| Attention-gate-based encoder–decoder network for automatical building extraction W Deng, Q Shi, J Li IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 90 | 2021 |
| A normalized urban areas composite index (NUACI) based on combination of DMSP-OLS and MODIS for mapping impervious surface area X Liu, G Hu, B Ai, X Li, Q Shi Remote Sensing 7 (12), 17168-17189, 2015 | 89 | 2015 |
| Deep subpixel mapping based on semantic information modulated network for urban land use mapping D He, Q Shi, X Liu, Y Zhong, X Zhang IEEE Transactions on Geoscience and Remote Sensing 59 (12), 10628-10646, 2021 | 85 | 2021 |
| Semisupervised discriminative locally enhanced alignment for hyperspectral image classification Q Shi, L Zhang, B Du IEEE Transactions on Geoscience and Remote Sensing 51 (9), 4800-4815, 2013 | 75 | 2013 |
| Domain adaption for fine-grained urban village extraction from satellite images Q Shi, M Liu, X Liu, P Liu, P Zhang, J Yang, X Li IEEE Geoscience and Remote Sensing Letters 17 (8), 1430-1434, 2019 | 74 | 2019 |
| Spatial coherence-based batch-mode active learning for remote sensing image classification Q Shi, B Du, L Zhang IEEE Transactions on Image Processing 24 (7), 2037-2050, 2015 | 73 | 2015 |
| Generating annual high resolution land cover products for 28 metropolises in China based on a deep super-resolution mapping network using Landsat imagery D He, Q Shi, X Liu, Y Zhong, G Xia, L Zhang GIScience & Remote Sensing 59 (1), 2036-2067, 2022 | 70 | 2022 |
| UGS-1m: Fine-grained urban green space mapping of 34 major cities in China based on the deep learning framework Q Shi, M Liu, A Marinoni, X Liu Earth System Science Data Discussions 2022, 1-23, 2022 | 67 | 2022 |