| 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 | 502 | 2021 |
| 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 | 189 | 2019 |
| A CNN-transformer network with multiscale context aggregation for fine-grained cropland change detection M Liu, Z Chai, H Deng, R Liu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 147 | 2022 |
| 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 | 114 | 2021 |
| 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 | 70 | 2019 |
| 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 | 39 | 2022 |
| Super-resolution for hyperspectral remote sensing images based on the 3D attention-SRGAN network X Dou, C Li, Q Shi, M Liu Remote Sensing 12 (7), 1204, 2020 | 37 | 2020 |
| PA-Former: Learning prior-aware transformer for remote sensing building change detection M Liu, Q Shi, Z Chai, J Li IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 35 | 2022 |
| MSCDUNet: a deep learning framework for built-up area change detection integrating multispectral, SAR, and VHR data H Li, F Zhu, X Zheng, M Liu, G Chen IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 25 | 2022 |
| Learning token-aligned representations with multimodel transformers for different-resolution change detection M Liu, Q Shi, J Li, Z Chai IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022 | 20 | 2022 |
| DSAMNet: A deeply supervised attention metric based network for change detection of high-resolution images M Liu, Q Shi 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 6159 …, 2021 | 11 | 2021 |
| An adversarial domain adaptation framework with KL-constraint for remote sensing land cover classification M Liu, P Zhang, Q Shi, M Liu IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 9 | 2021 |
| Identification of Mangrove Invasive Plant Derris Trifoliate Using UAV Images and Deep Learning Algorithms M Liu, H Deng, W Dong IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 5 | 2022 |
| The Last Puzzle of Global Building Footprints—Mapping 280 Million Buildings in East Asia Based on VHR Images Q Shi, J Zhu, Z Liu, H Guo, S Gao, M Liu, Z Liu, X Liu Journal of Remote Sensing 4, 0138, 2024 | 2 | 2024 |
| Dense temperature mapping and heat wave risk analysis based on multisource remote sensing data M Liu, X Li, Z Chai, A Chen, Y Zhang, Q Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2023 | 2 | 2023 |
| Siamese generative adversarial network for change detection under different scales M Liu, Q Shi, P Liu, C Wan IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 2 | 2020 |
| A Memory Guided Network and A Novel Dataset for Cropland Semantic Change Detection M Liu, S Lin, Y Zhong, Q Shi, J Li IEEE Transactions on Geoscience and Remote Sensing, 2024 | | 2024 |
| A Deep Learning Method for Fined-Grained Urban Green Space Mapping M Liu, J Li, Z Li, Q Shi IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | | 2022 |
