C is the fixed variety of the principal C 15 15, C 17 17, and
C may be the fixed variety of the principal C 15 15, C 17 17, and C 19 19, exactly where C would be the fixed variety of the principal element. The quantity ofof the principal componentset to 30 in allin all experiments to element. The number 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 six shows the values of OA, AA, and Kappa of various spatial sizes on 4 datasets. The values of OA, AA, and Kappa rise GLPG-3221 MedChemExpress 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 and after that lower inside the bigger spatial sizes. C 15 15 on PU, KSC, and SA dataset after which reduce inside the bigger spatial sizes. That That’s to say, a target pixel and its adjacent neighbors ordinarily belong to the exact same class to would be to say, a target pixel and its adjacent neighbors typically belong for the very same deteriorate certain spatial sizes, whilst oversized regions could present more noise andclass to particular spatial sizes, while oversized regions might present GRSS_DFC_2013, the values of your classification performance. Although for the dataset of further noise and deteriorate the classification overall performance. While spatial size of of GRSS_DFC_2013, 15 values of 3 indicators fluctuate involving the for the dataset C 11 11 and C he 15 and 3 indicators fluctuate involving the spatial size of C 11 11 and datasets 15 and lower with bigger spatial sizes. To sum up, the size with the patch for allC 15 s set to decrease 15. C 15 ith bigger spatial sizes. To sum up, the size on the patch for all datasets is set to C 15 15.Micromachines 2021, 12, x FOR PEER Critique Micromachines 2021, 12,ten of 17 ten of100 OA AA KappaPSB-603 Formula University of Pavia100 OA AA KappaKennedy Space CenterAccuraciesAccuracies99 1111 1313 1515 1717 1984 99 1111 1313 1515 1717 19spatial sizespatial size(a)one hundred OA AA Kappa(b)98.5 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 different spatial size on 4 datasets. (a) Effect of spatial size on University Figure OA, AA, and Kappa accuracies with different spatial size on 4 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) Impact 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.four. Ablation Study three.four. Ablation Study So that you can test the effectiveness on the proposed densely connected focus module, To be able to test the effectiveness of your proposed densely connected consideration module, various specific ablation experiments are designed. The models utilised for comparison are quite a few certain ablation experiments are created. The models employed for comparison are constant together with the network of the proposed approach except for the removal in the densely constant together with the network with the proposed approach except for the removal on the densely connected consideration module. The principal components along with the spatial size are set toto connected focus module. The principal components and the spatial size are.
