MNet: A Mamba-based teacher-student-decoder framework for multimodal remote sensing segmentation.
Remote sensing image segmentation serves as a fundamental step in connecting raw data with high-level vision understanding. However, single-modality inputs, such as optical or SAR imagery, often provide incomplete semantics, thereby limiting segmentation accuracy. While recent state space models (e.g., Mamba) have show...