Journal of Geo-information Science

MSDFENet： Change Detection in High-Resolution Optical Remote Sensing Images Based on Multi-Scale Differential Feature Enhancement

PENG Daifeng, LI Yaning, ZHOU Dingwei, GUAN Haiyan

Journal of Geo-information Science, 2025, 27(9): 2250-2267. DOI: 10.12082/dqxxkx.2025.250160

APDC	MSFA	LEVIR-CD		CDD		WHU-CD
APDC	MSFA	F1	IoU	F1	IoU	F1	IoU
×	×	88.51	79.38	91.13	83.71	88.90	80.03
√	×	90.16	82.13	94.00	88.69	90.62	82.84
×	√	89.95	81.69	93.24	87.32	90.69	82.95
√	√	90.68	82.96	94.65	89.78	91.64	84.56

Tab. 5 Quantitative results of ablation study (%)

Other figure/table from this article

Fig. 1 Architecture of MSDFENet network
Fig. 2 Structure of APDC module
Fig. 3 Structure of MSFA module
Tab. 1 Comparison of different change detection methods
Tab. 2 Comparison of quantitative metrics for different methods on the LEVIR-CD dataset (%)
Fig. 4 Experimental results of the LEVIR-CD dataset
Tab. 3 Comparison of quantitative metrics for different methods on the CDD dataset (%)
Fig. 5 Experimental results of the CDD dataset
Tab. 4 Comparison of quantitative metrics for different methods on the WHU-CD Dataset (%)
Fig. 6 Experimental results of the WHU-CD dataset
Fig. 7 Visual results of ablation experiment
Fig. 8 Visualization of four-stage feature heatmap in MSDFENet
Tab. 6 Comparison of performance and complexity metrics for different models