CTTF: Cross-Temporal Tri-Difference Fusion With Mamba for Remote Sensing Change Detection (opens in new tab)

Mamba has recently been widely applied to remote sensing change detection (CD) tasks due to its ability to efficiently represent long-range dependencies with nearly linear computational complexity. However, existing Mamba-based CD methods focus primarily on global modeling during the decoding stage, where insufficient attention to fine-grained details causes blurred change boundaries. In addition, most existing methods rely solely on a single type of differential feature (e.g., signed differe...