Efficient Global Feature Modeling for Remote Sensing Image Classification using State Space Model
RSMamba, an efficient global feature modeling methodology for remote sensing images based on the State Space Model (SSM), offers substantial advantages in representational capacity and efficiency, and is expected to serve as a feasible solution for handling large-scale remote sensing image interpretation.