1. LEVIR-SCD: FoBa: A Foreground-Background co-Guided Method and New Benchmark for Remote Sensing Semantic Change Detection
Haotian Zhang, Han Guo, Keyan Chen, Hao Chen, Zhengxia Zou and Zhenwei Shi
IEEE Transactions on Geoscience and Remote Sensing (TGRS),
2025
2. Git-10M: Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model
Chenyang Liu, Keyan Chen, Rui Zhao, Zhengxia Zou and Zhenwei Shi
IEEE Geoscience and Remote Sensing Magazine (GRSM),
2025
3. LEVIR-MCI: Change-Agent: Towards Interactive Comprehensive Remote Sensing Change Interpretation and Analysis
Chenyang Liu, Keyan Chen, Haotian Zhang, Zipeng Qi and Zhenwei Shi
IEEE Transactions on Geoscience and Remote Sensing (TGRS),
2024
4. LEVIR-MVS: Implicit Ray-Transformers for Multi-view Remote Sensing Image Segmentation
Zipeng Qi, Hao Chen, Chenyang Liu, Zhenwei Shi and Zhengxia Zou
IEEE Transactions on Geoscience and Remote Sensing (TGRS),
2023
5. LEVIR-CC: Remote Sensing Image Change Captioning with Dual-branch Transformers: A New Method and a Large Scale Dataset
Chenyang Liu, Rui Zhao, Hao Chen, Zhengxia Zou, and Zhenwei Shi
IEEE Transactions on Geoscience and Remote Sensing (TGRS),
2022
6. LEVIR-Ship: A Degraded Reconstruction Enhancement-based Method for Tiny Ship Detection in Remote Sensing Images with A New Large-scale Dataset
Jianqi Chen, Keyan Chen, Hao Chen, Zhengxia Zou and Zhenwei Shi
IEEE Transactions on Geoscience and Remote Sensing (TGRS),
2022
7. LEVIR-CS: A Geographic Information-driven Method and A New Large Scale Dataset for Remote Sensing Cloud/Snow Detection
Xi Wu, Zhenwei Shi and Zhengxia Zou
ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS),
2021
8. LEVIR-CD: A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection
Hao chen and Zhenwei Shi
Remote Sensing (RS),
2020
9. LEVIR: Random Access Memories: A New Paradigm for Target Detection in High Resolution Aerial Remote Sensing Images
Zhengxia Zou and Zhenwei Shi
IEEE Transactions on Image Processing (TIP),
2017