C will be the fixed number of the principal C 15 15, C 17 17, and
C may be the fixed quantity of the principal C 15 15, C 17 17, and C 19 19, exactly where C is the fixed number of the principal component. The quantity ofof the principal componentset to 30 in allin all experiments to component. The quantity the principal component is is set to 30 experiments to guarguarantee fairness. antee fairness. Figure six shows the values of OA, AA, and Kappa of different spatial sizes on four Figure 6 shows the values of OA, AA, and Kappa of different spatial sizes on 4 datasets. The values of OA, AA, and Kappa rise steadily from spatial sizes of C 9 9 datasets. The values of OA, AA, and Kappa rise steadily from spatial sizes of C 9 9 to to C 15 15 on PU, KSC, and SA dataset then lower inside the bigger spatial sizes. C 15 15 on PU, KSC, and SA dataset after which reduce inside the larger spatial sizes. That That is certainly to say, a target pixel and its adjacent neighbors typically belong for the similar class to should be to say, a target pixel and its adjacent neighbors commonly belong to the identical deteriorate AAPK-25 Apoptosis particular spatial sizes, while oversized regions may well present added noise andclass to certain spatial sizes, when oversized regions may well present GRSS_DFC_2013, the values of the classification overall performance. When for the dataset of more noise and deteriorate the classification efficiency. Although spatial size of of GRSS_DFC_2013, 15 values of 3 indicators fluctuate in between the for the dataset C 11 11 and C he 15 and three indicators fluctuate involving the spatial size of C 11 11 and datasets 15 and reduce with bigger spatial sizes. To sum up, the size on the patch for allC 15 s set to lower 15. C 15 ith larger spatial sizes. To sum up, the size with the patch for all datasets is set to C 15 15.Micromachines 2021, 12, x FOR PEER Critique Micromachines 2021, 12,ten of 17 10 of100 OA AA KappaUniversity of Pavia100 OA AA KappaKennedy Space CenterAccuraciesAccuracies99 1111 1313 1515 1717 1984 99 1111 1313 1515 1717 19spatial sizespatial size(a)100 OA AA Kappa(b)98.five OA AA Kappa 98.Salinas ValleyGRSS_DFC_AccuraciesAccuracies99 1111 1313 1515 1717 1997.97.96.five 99 1111 1313 1515 1717 19spatial sizespatial size(c)(d)Figure 6.6. OA, AA, and Kappa accuracies with various spatial size on four datasets. (a) Impact of spatial size on University Figure OA, AA, and Kappa accuracies with different spatial size on four datasets. (a) Effect of spatial size on University of Pavia dataset, (b)(b) Effect spatial size sizeKennedy Space Center dataset, (c) Impact of spatial size on Salinas Valley dataset, of Pavia dataset, Impact of of spatial on on Kennedy Space Center dataset, (c) Effect of spatial size on Salinas Valley dataset, (d) Effect of spatial size on GRSS_DFC_2013 (d) Impact of spatial size on GRSS_DFC_2013 dataset. dataset.3.4. GS-626510 supplier ablation Study three.4. Ablation Study In order to test the effectiveness from the proposed densely connected attention module, To be able to test the effectiveness from the proposed densely connected focus module, quite a few precise ablation experiments are created. The models applied for comparison are various specific ablation experiments are designed. The models utilized for comparison are consistent with all the network of your proposed system except for the removal in the densely consistent with the network in the proposed method except for the removal of the densely connected interest module. The principal components and the spatial size are set toto connected interest module. The principal elements along with the spatial size are.
