| Cross-domain landslide mapping from large-scale remote sensing images using prototype-guided domain-aware progressive representation learning X Zhang, W Yu, MO Pun, W Shi ISPRS Journal of Photogrammetry and Remote Sensing 197, 1-17, 2023 | 72 | 2023 |
| AI security for geoscience and remote sensing: Challenges and future trends Y Xu, T Bai, W Yu, S Chang, PM Atkinson, P Ghamisi IEEE Geoscience and Remote Sensing Magazine 11 (2), 60-85, 2023 | 53 | 2023 |
| A Chan-Vese model based on the Markov chain for unsupervised medical image segmentation Q Huang, Y Zhou, L Tao, W Yu, Y Zhang, L Huo, Z He Tsinghua Science and Technology 26 (6), 833-844, 2021 | 37 | 2021 |
| Multilevel deformable attention-aggregated networks for change detection in bitemporal remote sensing imagery X Zhang, W Yu, MO Pun IEEE Transactions on Geoscience and Remote Sensing 60, 1-18, 2022 | 35 | 2022 |
| Txt2Img-MHN: Remote sensing image generation from text using modern Hopfield networks Y Xu, W Yu, P Ghamisi, M Kopp, S Hochreiter IEEE Transactions on Image Processing, 2023 | 33 | 2023 |
| Federated deep learning with prototype matching for object extraction from very-high-resolution remote sensing images X Zhang, B Zhang, W Yu, X Kang IEEE Transactions on Geoscience and Remote Sensing 61, 1-16, 2023 | 27 | 2023 |
| Cloud removal in optical remote sensing imagery using multiscale distortion-aware networks W Yu, X Zhang, MO Pun IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 21 | 2022 |
| MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification W Yu, X Zhang, S Das, XX Zhu, P Ghamisi IEEE Transactions on Geoscience and Remote Sensing 62, 1-16, 2024 | 11 | 2024 |
| Responsible AI for Earth Observation P Ghamisi, W Yu, A Marinoni, CM Gevaert, C Persello, S Selvakumaran, ... arXiv preprint arXiv:2405.20868, 2024 | 7 | 2024 |
| Weakly supervised local–global anchor guidance network for landslide extraction with image-level annotations X Zhang, W Yu, X Ma, X Kang IEEE Geoscience and Remote Sensing Letters 20, 1-5, 2023 | 7 | 2023 |
| Task-Guided Denoising Network for Adversarial Defense of Remote Sensing Scene Classification. Y Xu, W Yu, P Ghamisi CDCEO@ IJCAI, 73-78, 2022 | 6 | 2022 |
| A hybrid model-based and data-driven approach for cloud removal in satellite imagery using multi-scale distortion-aware networks W Yu, X Zhang, MO Pun, M Liu 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 7160 …, 2021 | 5 | 2021 |
| Minenetcd: A benchmark for global mining change detection on remote sensing imagery W Yu, X Zhang, R Gloaguen, XX Zhu, P Ghamisi IEEE Transactions on Geoscience and Remote Sensing, 2024 | 4 | 2024 |
| Changeminds: Multi-task framework for detecting and describing changes in remote sensing Y Wang, W Yu, M Kopp, P Ghamisi arXiv preprint arXiv:2410.10047, 2024 | 3 | 2024 |
| Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models W Yu, Y Xu, P Ghamisi International Journal of Applied Earth Observation and Geoinformation 133 …, 2024 | 3 | 2024 |
| Style transformation-based change detection using adversarial learning with object boundary constraints X Zhang, W Yu, MO Pun, M Liu 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 3117 …, 2021 | 3 | 2021 |
| Prototypical Unknown-Aware Multiview Consistency Learning for Open-Set Cross-Domain Remote Sensing Image Classification X Zhang, W Wu, M Zhang, W Yu, P Ghamisi IEEE Transactions on Geoscience and Remote Sensing, 2024 | 1 | 2024 |
| Auto-Prompting SAM for Weakly Supervised Landslide Extraction J Wang, X Zhang, X Ma, W Yu, P Ghamisi arXiv preprint arXiv:2501.13426, 2025 | | 2025 |
| Change Captioning in Remote Sensing: Evolution to SAT-Cap--A Single-Stage Transformer Approach Y Wang, W Yu, P Ghamisi arXiv preprint arXiv:2501.08114, 2025 | | 2025 |
| MineNet-CD: Global Mining Change Detection Dataset W Yu, S Das, A Rizaldy, X Zhang, R Gloaguen, P Ghamisi IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium …, 2024 | | 2024 |
Xiaokang ZhangThe Chinese University of Hong Kong, ShenzhenПодтвержден адрес электронной почты в домене cuhk.edu.cn