Adversarial instance augmentation for building change detection in remote sensing images H Chen, W Li, Z Shi IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2021 | 129 | 2021 |
RSPrompter: Learning to prompt for remote sensing instance segmentation based on visual foundation model K Chen, C Liu, H Chen, H Zhang, W Li, Z Zou, Z Shi IEEE Transactions on Geoscience and Remote Sensing, 2024 | 50 | 2024 |
Geographical knowledge-driven representation learning for remote sensing images W Li, K Chen, H Chen, Z Shi IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2021 | 46 | 2021 |
Semantic Segmentation of Remote Sensing Images with Self-supervised Multi-task Representation Learning W Li, H Chen, Z Shi IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 | 40 | 2021 |
Generative adversarial training for weakly supervised cloud matting Z Zou, W Li, T Shi, Z Shi, J Ye Proceedings of the IEEE/CVF International Conference on Computer Vision, 201-210, 2019 | 33 | 2019 |
Deep Matting for Cloud Detection in Remote Sensing Images W Li, Z Zou, Z Shi IEEE Transactions on Geoscience and Remote Sensing 58 (12), 8490 - 8502, 2020 | 32 | 2020 |
Semantic-aware dense representation learning for remote sensing image change detection H Chen, W Li, S Chen, Z Shi IEEE Transactions on Geoscience and Remote Sensing 60, 1-18, 2022 | 31 | 2022 |
Do Game Data Generalize Well for Remote Sensing Image Segmentation? Z Zou, T Shi, W Li, Z Zhang, Z Shi Remote Sensing 12 (2), 2020 | 28 | 2020 |
Contrastive learning for fine-grained ship classification in remote sensing images J Chen, K Chen, H Chen, W Li, Z Zou, Z Shi IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022 | 22 | 2022 |
Continuous remote sensing image super-resolution based on context interaction in implicit function space K Chen, W Li, S Lei, J Chen, X Jiang, Z Zou, Z Shi IEEE Transactions on Geoscience and Remote Sensing, 2023 | 17 | 2023 |
Physics-informed hyperspectral remote sensing image synthesis with deep conditional generative adversarial networks L Liu, W Li, Z Shi, Z Zou IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022 | 14 | 2022 |
Resolution-agnostic remote sensing scene classification with implicit neural representations K Chen, W Li, J Chen, Z Zou, Z Shi IEEE Geoscience and Remote Sensing Letters 20, 1-5, 2022 | 12 | 2022 |
Rsmamba: Remote sensing image classification with state space model K Chen, B Chen, C Liu, W Li, Z Zou, Z Shi arXiv preprint arXiv:2403.19654, 2024 | 7 | 2024 |
Large-factor super-resolution of remote sensing images with spectra-guided generative adversarial networks Y Meng, W Li, S Lei, Z Zou, Z Shi IEEE Transactions on Geoscience and Remote Sensing 60, 1-11, 2022 | 7 | 2022 |
Time Travelling Pixels: Bitemporal Features Integration with Foundation Model for Remote Sensing Image Change Detection K Chen, C Liu, W Li, Z Liu, H Chen, H Zhang, Z Zou, Z Shi arXiv preprint arXiv:2312.16202, 2023 | 5 | 2023 |
Attention-based convolutional networks for ship detection in high-resolution remote sensing images X Ma, W Li, Z Shi Pattern Recognition and Computer Vision: First Chinese Conference, PRCV 2018 …, 2018 | 5 | 2018 |
Geographical supervision correction for remote sensing representation learning W Li, K Chen, Z Shi IEEE Transactions on Geoscience and Remote Sensing 60, 1-20, 2022 | 4 | 2022 |
DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling W Li, Z Liu, K Chen, H Chen, S Liang, Z Zou, Z Shi arXiv preprint arXiv:2401.04125, 2024 | 1 | 2024 |
Observation-Guided Meteorological Field Downscaling at Station Scale: A Benchmark and a New Method Z Liu, H Chen, L Bai, W Li, K Chen, Z Wang, W Ouyang, Z Zou, Z Shi arXiv preprint arXiv:2401.11960, 2024 | | 2024 |
Learning to detect cloud and snow in remote sensing images from noisy labels Z Liu, H Chen, W Li, K Chen, Z Qi, C Liu, Z Zou, Z Shi arXiv preprint arXiv:2401.08932, 2024 | | 2024 |