19 citations · 26 across the 3 of their papers we have counts for
4 papers
UniTS: Unified Spatio-Temporal Generative Model for Remote Sensing
Yuxiang Zhang, Shunlin Liang, Wenyuan Li +8
One of the primary objectives of satellite remote sensing is to capture the complex dynamics of the Earth environment, which encompasses tasks such as reconstructing continuous clo…
Fine-grained Hierarchical Crop Type Classification from Integrated Hyperspectral EnMAP Data and Multispectral Sentinel-2 Time Series: A Large-scale Dataset and Dual-stream Transformer Method
Wenyuan Li, Shunlin Liang, Yuxiang Zhang +8
Fine-grained crop type classification serves as the fundamental basis for large-scale crop mapping and plays a vital role in ensuring food security. It requires simultaneous captur…
AgriFM: A Multi-source Temporal Remote Sensing Foundation Model for Agriculture Mapping
Wenyuan Li, Shunlin Liang, Keyan Chen +7
Accurate crop mapping fundamentally relies on modeling multi-scale spatiotemporal patterns, where spatial scales range from individual field textures to landscape-level context, an…
DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling
Wenyuan Li, Zili Liu, Keyan Chen +4
Accurate weather forecasting holds significant importance to human activities. Currently, there are two paradigms for weather forecasting: Numerical Weather Prediction (NWP) and De…