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. 2019 Jan 24;19(3):479. doi: 10.3390/s19030479

Table 3.

Pavia University scene classification results.

Method RPCA2,1 RPCA PCA IFRF Origion RPCA2,1 RPCA PCA IFRF Origin
Classifier NN SVM
C1 0.9581 0.9630 0.9632 0.9581 0.8969 0.9771 0.9745 0.9698 0.9657 0.8119
C2 0.9925 0.9942 0.9935 0.9944 0.8491 0.9957 0.996 0.9956 0.9951 0.8676
C3 0.9465 0.9420 0.9212 0.9543 0.6836 0.9758 0.9678 0.9715 0.9578 0.6425
C4 0.9923 0.9841 0.9865 0.9880 0.9360 0.9918 0.9889 0.9938 0.9895 0.8802
C5 0.9993 0.9989 0.9957 0.9985 0.9929 0.917 0.9377 0.9433 0.9355 0.9972
C6 0.9966 0.9953 0.9921 0.9981 0.7228 0.9965 0.9963 0.9953 0.9977 0.7286
C7 0.9177 0.9090 0.8921 0.8822 0.7385 0.9751 0.9689 0.9642 0.963 0.6193
C8 0.9169 0.9082 0.9182 0.9135 0.7990 0.9656 0.9589 0.9575 0.9574 0.7057
C9 0.9353 0.9302 0.9369 0.9509 1 0.964 0.9577 0.9546 0.9575 0.9996
OA 0.9751 0.9744 0.9734 0.9748 0.8425 0.9849 0.9839 0.9832 0.9815 0.8238
AA 0.9617 0.9583 0.9555 0.9598 0.8465 0.9732 0.9719 0.9717 0.9688 0.8058
Kappa 0.9670 0.9660 0.9647 0.9666 0.7869 0.98 0.9787 0.9777 0.9754 0.7628