FGDOA-Net: A Dual-Decoder Network With Frequency-Induced Detail-Guided Difference Aggregation for Remote Sensing Change Detection
Remote sensing change detection (RSCD) aims to identify land surface changes from multitemporal remote sensing images and plays a critical role in applications, such as land monitoring and urban planning. Existing deep-learning-based RSCD methods often struggle to capture fine-grained details and to aggregate semantic...