RSTNet: Rectified Spatial–Temporal Interaction Network for Remote Sensing Change Detection
Currently, deep learning has become the mainstream technology for remote sensing change detection (RSCD) that aims to localize changes from bi-temporal observations. However, most existing prompt-guided methods generate prompts based on dual-phase pixel differences without fully perceiving the optimization goals of the...