Feature-Aligned and Frequency-Aware Network for High-Resolution Remote Sensing Change Detection
Current spatiotemporal modeling approaches in remote sensing change detection (RSCD) often struggle to distinguish phenological pseudo-changes from semantic changes, leading to false alarms and blurred boundaries. To address this, a feature-aligned and frequency-aware network (FACDNet) is proposed based on a physics-in...