C will be the fixed quantity of the principal C 15 15, C 17 17,

C will be the fixed quantity of the principal C 15 15, C 17 17, and
C is the fixed quantity of the principal C 15 15, C 17 17, and C 19 19, where C may be the fixed variety 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 distinct spatial sizes on four Figure 6 shows the values of OA, AA, and Kappa of distinct spatial sizes on four 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 after which lower in the larger spatial sizes. C 15 15 on PU, KSC, and SA dataset and after that reduce inside the bigger spatial sizes. That Which is to say, a target pixel and its adjacent neighbors typically belong to the exact same class to is usually to say, a target pixel and its adjacent neighbors commonly belong towards the same deteriorate certain spatial sizes, while oversized regions may present additional noise andclass to Tasisulam manufacturer specific spatial sizes, though oversized regions may present GRSS_DFC_2013, the values in the classification functionality. Though for the dataset of extra noise and deteriorate the classification performance. While spatial size of of GRSS_DFC_2013, 15 values of 3 indicators fluctuate among the for the dataset C 11 11 and C he 15 and 3 indicators fluctuate among the spatial size of C 11 11 and datasets 15 and reduce with larger spatial sizes. To sum up, the size of your patch for allC 15 s set to reduce 15. C 15 ith larger spatial sizes. To sum up, the size of the patch for all datasets is set to C 15 15.Micromachines 2021, 12, x FOR PEER GYKI 52466 supplier Evaluation Micromachines 2021, 12,10 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.six. OA, AA, and Kappa accuracies with unique spatial size on four datasets. (a) Impact of spatial size on University Figure OA, AA, and Kappa accuracies with distinct 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) Effect of spatial size on Salinas Valley dataset, of Pavia dataset, Effect 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) Effect of spatial size on GRSS_DFC_2013 dataset. dataset.three.4. Ablation Study three.four. Ablation Study In an effort to test the effectiveness of your proposed densely connected attention module, To be able to test the effectiveness on the proposed densely connected focus module, quite a few particular ablation experiments are made. The models employed for comparison are various certain ablation experiments are created. The models made use of for comparison are consistent together with the network in the proposed approach except for the removal in the densely consistent using the network from the proposed method except for the removal from the densely connected consideration module. The principal components plus the spatial size are set toto connected interest module. The principal components as well as the spatial size are.