A Fast Recognition Method for Space Targets in ISAR Images Based on Local and Global Structural Fusion Features with Lower Dimensions

Table 4

Average classification accuracy of fusion features in 5 times 10-fold cross validation.

	T1	T2	T3	T4	T5	T6	T7	T8	Average
LBP	0.989	0.989	0.987	0.985	0.989	0.994	0.993	0.974	0.988
LBP	0.982	0.991	0.980	0.989	0.993	0.993	0.994	0.970	0.987
LBP	0.993	0.994	0.991	0.992	0.989	0.992	0.993	0.978	0.990
LBP	0.996	0.996	0.992	0.987	0.990	0.994	0.993	0.976	0.991
LBP	0.995	0.991	0.992	0.988	0.992	0.989	0.989	0.974	0.989
LBP	0.998	0.993	0.992	0.993	0.992	0.991	0.994	0.981	0.992
LBP	0.991	0.997	0.994	0.990	0.989	0.992	0.988	0.978	0.990
LBP	0.991	0.992	0.992	0.984	0.991	0.993	0.987	0.978	0.989
LBP	0.993	0.991	0.990	0.985	0.994	0.994	0.988	0.982	0.990
LBP	0.997	0.994	0.991	0.988	0.988	0.989	0.994	0.988	0.991
LBP	0.994	0.994	0.991	0.994	0.992	0.996	0.989	0.983	0.992
LBP	0.991	0.985	0.984	0.987	0.994	0.994	0.986	0.991	0.989
LBP	0.990	0.991	0.980	0.987	0.981	0.984	0.996	0.977	0.986
Average	0.992	0.992	0.989	0.988	0.990	0.992	0.991	0.979	/