Class-Aware Domain Adaptation for Semantic Segmentation of Remote Sensing Images Q Xu, X Yuan, C Ouyang IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2020 | 44* | 2020 |
MFFENet and ADANet: a robust deep transfer learning method and its application in high precision and fast cross-scene recognition of earthquake-induced landslides Q Xu, C Ouyang, T Jiang, X Yuan, X Fan, D Cheng Landslides 19 (7), 1617-1647, 2022 | 23 | 2022 |
Nationwide urban tree canopy mapping and coverage assessment in Brazil from high-resolution remote sensing images using deep learning J Guo, Q Xu, Y Zeng, Z Liu, XX Zhu ISPRS Journal of Photogrammetry and Remote Sensing 198, 1-15, 2023 | 22 | 2023 |
Comprehensive analysis and numerical simulation of a large debris flow in the Meilong catchment, China H An, C Ouyang, F Wang, Q Xu, D Wang, W Yang, T Fan Engineering Geology 298, 106546, 2022 | 22 | 2022 |
Attention-based pyramid network for segmentation and classification of high-resolution and hyperspectral remote sensing images Q Xu, X Yuan, C Ouyang, Y Zeng Remote Sensing 12 (21), 3501, 2020 | 20 | 2020 |
Comprehensive study of the Beijing Daanshan rockslide based on real-time videos, field investigations, and numerical modeling S Zhou, C Ouyang, H An, T Jiang, Q Xu Landslides 17, 1217-1231, 2020 | 20 | 2020 |
Universal Domain Adaptation for Remote Sensing Image Scene Classification Q Xu, Y Shi, X Yuan, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 61, 1-15, 2023 | 19 | 2023 |
DFPENet-geology: A Deep Learning Framework for High Precision Recognition and Segmentation of Co-seismic Landslides Q Xu, C Ouyang, T Jiang, X Fan, D Cheng arXiv preprint arXiv:1908.10907, 2019 | 12 | 2019 |
UCDFormer: Unsupervised Change Detection Using a Transformer-driven Image Translation Q Xu, Y Shi, J Guo, C Ouyang, XX Zhu IEEE Transactions on Geoscience and Remote Sensing, 2023 | 11 | 2023 |
Semi-supervised cloud detection in satellite images by considering the domain shift problem J Guo, Q Xu, Y Zeng, Z Liu, X Zhu Remote Sensing 14 (11), 2641, 2022 | 10 | 2022 |
CAS Landslide Dataset: A Large-Scale and Multisensor Dataset for Deep Learning-Based Landslide Detection Y Xu, C Ouyang, Q Xu, D Wang, B Zhao, Y Luo Scientific Data 11 (1), 12, 2024 | 5 | 2024 |
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology Q Xu, Y Shi, J Bamber, Y Tuo, R Ludwig, XX Zhu arXiv preprint arXiv:2310.05227, 2023 | 3 | 2023 |
Universal domain adaptation without source data for remote sensing image scene classification Q Xu, Y Shi, X Zhu IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 3 | 2022 |
On the Generalization of the Semantic Segmentation Model for Landslide Detection. F Zhang, Y Shi, Q Xu, Z Xiong, W Yao, XX Zhu CDCEO@ IJCAI, 96-100, 2022 | 3 | 2022 |
Geologic structure, mechanism, and conditions for rock topples on cataclinal slope, Jinchuan, China M Xia, GM Ren, QS Xu, WX Fu, SW Li, XW You Geomatics, Natural Hazards and Risk 9 (1), 1006-1018, 2018 | 3 | 2018 |
Unsupervised Change Detection Using Real-time Transformers Q Xu, Y Shi, XX Zhu 2023 Joint Urban Remote Sensing Event (JURSE), 1-4, 2023 | 2 | 2023 |
Large-scale flood modeling and forecasting with FloodCast Q Xu, Y Shi, J Bamber, C Ouyang, XX Zhu arXiv preprint arXiv:2403.12226, 2024 | 1 | 2024 |
DisasterNets: Embedding Machine Learning in Disaster Mapping Q Xu, Y Shi, XX Zhu IGARSS 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023 | 1 | 2023 |
A large-scale flood modeling using geometry-adaptive physics-informed neural solver and Earth observation data Q Xu, Y Shi, J Bamber, C Ouyang, XX Zhu EGU General Assembly Conference Abstracts, EGU-3276, 2023 | 1 | 2023 |
Optimizing the Post-disaster Resource Allocation with Q-Learning: Demonstration of 2021 China Flood L Dong, Y Bai, Q Xu, E Mas International Conference on Database and Expert Systems Applications, 256-262, 2022 | 1 | 2022 |