Lu Bai

SCF-Net: A Flow-Guided Alignment-Enhanced SAM–CNN Hybrid Framework for Remote Sensing Change Detection

While integrating convolutional neural networks (CNNs) and the segment anything model (SAM) is promising for remote sensing change detection (CD), effectively synergizing them remains challenging. Existing hybrid methods often rely on simple feature concatenation, failing to bridge the gap between CNNs’ fine-grained lo...