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Author

Shengyan Liu

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Oct 2026

HFA-Net: hierarchical fusion attention network for remote sensing image change detection

Remote sensing image change detection plays a crucial role in fields such as urban planning and land use. However, existing methods often face challenges such as class imbalance, pseudo-change interference, and the difficulty of balancing computational efficiency with detection accuracy. To address these issues, this a...

Ying Feng, Yu-Qing Zhang, Sheng-Yan Liu et al. · 0 citations
Open access Jul 2026

PCINet: A Prior-Guided Correlation Interaction Network for High-Resolution Remote Sensing Image Change Detection

PCINet, a prior-guided correlation interaction network designed to balance reliable change discrimination and computational efficiency, is proposed, demonstrating competitive performance and a favorable accuracy–efficiency trade-off across the three datasets.

Wengzheng Wu, Shengyan Liu, Kai Qin et al. · 0 citations

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