Remote Sensing Image Change Detection Network Based on Twin High-Resolution Representation

Table 4

Results of the quantitative evaluation of the different methods on the SYSU-CD datasets.

Models	SYSU-CD
	Precision (%)	Recall (%)	F1 (%)	OA (%)
FCN-PP	0.7432	0.7584	0.7507	0.8509
FC-siam-conc	0.8254	0.7103	0.7635	0.8660
FC-siam-diff	0.8913	0.6121	0.7257	0.8611
Unet++_MSOF	0.8752	0.7260	0.7694	0.8884
IFN	0.8784	0.8333	0.8565	0.9111
TCANet (ours)	0.9120	0.8393	0.8702	0.9489

The best ones are marked in bold.