| UPanGAN: Unsupervised pansharpening based on the spectral and spatial loss constrained generative adversarial network Q Xu, Y Li, J Nie, Q Liu, M Guo Information Fusion 91, 31-46, 2023 | 32 | 2023 |
| LMO-YOLO: A ship detection model for low-resolution optical satellite imagery Q Xu, Y Li, Z Shi IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 25 | 2022 |
| COCO-Net: A dual-supervised network with unified ROI-loss for low-resolution ship detection from optical satellite image sequences Q Xu, Y Li, M Zhang, W Li IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022 | 17 | 2022 |
| Automatic clustering-based two-branch CNN for hyperspectral image classification Y Li, Q Xu, W Li, J Nie IEEE Transactions on Geoscience and Remote Sensing 59 (9), 7803-7816, 2020 | 12 | 2020 |
| Progressive task-based universal network for raw infrared remote sensing imagery ship detection Y Li, Q Xu, Z He, W Li IEEE Transactions on Geoscience and Remote Sensing 61, 1-13, 2023 | 11 | 2023 |
| MULS-Net: A Multilevel Supervised Network for Ship Tracking From Low-Resolution Remote-Sensing Image Sequences Y Li, Q Xu, Z Kong, W Li IEEE Transactions on Geoscience and Remote Sensing 61, 1-14, 2023 | 4 | 2023 |
Zhenwei ShiProfessor at Image Processing Center, Beihang University, China在 buaa.edu.cn 的电子邮件经过验证
Zhenwei ShiProfessor at Image Processing Center, Beihang University, China在 buaa.edu.cn 的电子邮件经过验证
Wei LiBeijing Institute of Technology在 ieee.org 的电子邮件经过验证