KAN-UG: Kolmogorov–Arnold Network-Based Difference Feature Enhancement Method With Uncertainty Guidance for Change Detection (opens in new tab)

Although existing semi-supervised methods for remote sensing change detection (RSCD) have shown promising performance with limited labeled data, they still face two key challenges. First, due to the complexity of remote sensing (RS) scenarios, these methods often struggle to capture subtle changes of ground objects and exhibit limited capacity to model the nonlinear characteristics of complex objects, thereby restricting detection accuracy. Second, existing methods fail to adequately exploit ...