Yu-Yun Ding

FGDOA-Net: A Dual-Decoder Network With Frequency-Induced Detail-Guided Difference Aggregation for Remote Sensing Change Detection

FGDOA-Net is proposed, a novel dual-decoder network that enhances detail sensitivity and difference modeling in remote sensing change detection and outperforms state-of-the-art methods in accuracy and generalization while maintaining low computational complexity.