## 4 Experimental Result
### Result and Comparison
#### 4.3.2 Train and Test with Random Spatial datasets
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline  & \multicolumn{2}{c}{**Luo Model**} & \multicolumn{2}{c}{**Li Model**} & \multicolumn{2}{c}{**Hamida Model**} \\ \hline
**\#** & **F1-Score** & **Accuracy** & **F1-Score** & **Accuracy** & **F1-Score** & **Accuracy** \\ \hline
1 & 0.000 & 0.00\% & 0.935 & 91.54\% & 0.948 & 93.69\% \\ \hline
2 & 0.737 & 94.04\% & 0.956 & 95.35\% & 0.930 & 90.10\% \\ \hline
3 & 0.000 & 0.00\% & 0.868 & 86.40\% & 0.825 & 79.65\% \\ \hline
4 & 0.961 & 96.02\% & 0.938 & 90.92\% & 0.955 & 92.99\% \\ \hline
5 & 0.689 & 96.14\% & 0.892 & 87.51\% & 0.903 & 89.42\% \\ \hline
6 & 0.978 & 95.87\% & 0.979 & 95.93\% & 0.974 & 95.17\% \\ \hline
7 & 0.911 & 96.49\% & 0.984 & 97.33\% & 0.961 & 93.11\% \\ \hline
8 & 0.677 & 93.36\% & 0.809 & 79.11\% & 0.813 & 80.80\% \\ \hline
9 & 0.723 & 98.46\% & 0.949 & 94.68\% & 0.965 & 97.49\% \\ \hline
10 & 0.085 & 6.20\% & 0.893 & 88.03\% & 0.897 & 90.81\% \\ \hline
11 & 0.000 & 0.00\% & 0.754 & 68.68\% & 0.827 & 77.00\% \\ \hline
12 & 0.000 & 0.00\% & 0.912 & 92.10\% & 0.900 & 90.02\% \\ \hline
13 & 0.000 & 0.00\% & 0.904 & 88.61\% & 0.910 & 90.79\% \\ \hline
14 & 0.581 & 41.12\% & 0.893 & 87.23\% & 0.905 & 90.65\% \\ \hline
15 & 0.068 & 3.93\% & 0.731 & 71.84\% & 0.740 & 73.05\% \\ \hline
16 & 0.000 & 0.00\% & 0.956 & 93.23\% & 0.977 & 97.23\% \\ \hline OA(\%) & \multicolumn{2}{c}{59.534\%} & \multicolumn{2}{c}{86.508\%} & \multicolumn{2}{c}{87.126\%} \\ \hline AA(\%) & \multicolumn{2}{c}{45.10\%} & \multicolumn{2}{c}{88.03\%} & \multicolumn{2}{c}{88.87\%} \\ \hline Kappa & \multicolumn{2}{c}{0.537} & \multicolumn{2}{c}{0.850} & \multicolumn{2}{c}{0.857} \\ \hline  & \multicolumn{2}{c}{**Chen Model**} & \multicolumn{2}{c}{**Hu Model**} & \multicolumn{2}{c}{**Proposed Model**} \\ \hline
**\#** & **F1-Score** & **Accuracy** & **F1-Score** & **Accuracy** & **F1-Score** & **Accuracy** \\ \hline
1 & 0.632 & 64.16\% & 0.976 & 95.24\% & 0.997 & 99.45\% \\ \hline
2 & 0.673 & 62.34\% & 0.985 & 99.88\% & 0.998 & 99.82\% \\ \hline
3 & 0.375 & 29.45\% & 0.897 & 91.74\% & 0.992 & 99.61\% \\ \hline
4 & 0.149 & 12.03\% & 0.985 & 99.60\% & 0.993 & 99.52\% \\ \hline
5 & 0.258 & 20.54\% & 0.941 & 92.49\% & 0.985 & 98.46\% \\ \hline
6 & 0.582 & 52.43\% & 0.998 & 99.55\% & 0.999 & 99.97\% \\ \hline
7 & 0.513 & 45.89\% & 0.981 & 99.22\% & 0.998 & 99.81\% \\ \hline
8 & 0.655 & 76.47\% & 0.791 & 91.01\% & 0.868 & 88.64\% \\ \hline
9 & 0.736 & 69.59\% & 0.97 & 96.76\% & 0.997 & 99.98\% \\ \hline
10 & 0.479 & 48.34\% & 0.865 & 87.59\% & 0.971 & 96.71\% \\ \hline
11 & 0.271 & 23.52\% & 0.808 & 85.85\% & 0.985 & 99.69\% \\ \hline
12 & 0.289 & 23.36\% & 0.967 & 99.65\% & 0.998 & 100.00\% \\ \hline
13 & 0.141 & 14.18\% & 0.947 & 97.58\% & 0.998 & 99.64\% \\ \hline
14 & 0.199 & 17.34\% & 0.931 & 92.32\% & 0.987 & 99.17\% \\ \hline
15 & 0.602 & 64.44\% & 0.535 & 39.93\% & 0.788 & 76.00\% \\ \hline
16 & 0.569 & 43.36\% & 0.955 & 92.13\% & 0.983 & 97.60\% \\ \hline OA(\%) & \multicolumn{2}{c}{51.438\%} & \multicolumn{2}{c}{87.241\%} & \multicolumn{2}{c}{93.953\%} \\ \hline AA(\%) & \multicolumn{2}{c}{41.71\%} & \multicolumn{2}{c}{91.28\%} & \multicolumn{2}{c}{97.13\%} \\ \hline Kappa & \multicolumn{2}{c}{0.465} & \multicolumn{2}{c}{0.857} & \multicolumn{2}{c}{0.933} \\ \hline \hline \end{tabular}
\end{table} 
Table 11: Classification results of the Salinas dataset to which random spatial information is applied.