基于弱监督鲁棒性自编码的高光谱异常检测

张国建, 刘胜震, 孙英君, 俞凯杰, 刘丽娜

Hyperspectral anomaly detection based on the weakly supervised robust autoencoder

ZHANG Guojian, LIU Shengzhen, SUN Yingjun, YU Kaijie, LIU Lina

表3 4组数据集中各异常检测算法的AUC值

Tab.3 AUC values of different anomaly algorithms in four data sets

检测算法	Urban		Gulfport		San Diego-1		San Diego-2
检测算法	( $P_{d}, P_{f}$ )	( $P_{f}, τ$ )	( $P_{d}, P_{f}$ )	( $P_{f}, τ$ )	( $P_{d}, P_{f}$ )	( $P_{f}, τ$ )	( $P_{d}, P_{f}$ )	( $P_{f}, τ$ )
GRX	0.984 8	0.0344	0.952 6	0.024 8	0.911 1	0.040 6	0.940 3	0.058 9
CRD	0.982 9	0.0454	0.821 9	0.054 2	0.971 5	0.051 5	0.919 0	0.063 7
LSMAD	0.989 7	0.0190	0.939 5	0.024 6	0.975 6	0.020 1	0.965 3	0.029 1
FrFE	0.968 7	0.0162	0.894 1	0.049 2	0.953 3	0.002 4	0.962 2	0.021 4
SC_AAE	0.934 8	0.0307	0.893 0	0.024 5	0.861 7	0.019 6	0.890 5	0.028 3
MemAE	0.997 4	0.0337	0.961 6	0.037 9	0.969 7	0.047 0	0.971 3	0.048 7
WSRAE	0.997 7	0.0185	0.986 2	0.015 2	0.9846	0.005 4	0.976 3	0.018 5