Table 2.

The performance comparison of the different methods.

Methods	Precision	Recall	F1 score
CFA [38]	0.891	0.923	0.912
ConvNeXt [39]	0.916	0.942	0.928
G-Rep [40]	0.925	0.947	0.935
SASM [41]	0.936	0.964	0.949
KLD [42]	0.904	0.921	0.912
Oriented R-CNN [43]	0.921	0.946	0.933
R3Det [44]	0.922	0.957	0.939
ReDet [45]]	0.938	0.970	0.953
Rotated FCOS [46]	0.926	0.956	0.940
RetinaNet [47]	0.897	0.918	0.907
DeepRSD	0.943	0.974	0.958