## 4 Experimental Result
### Result and Comparison
#### 4.3.3 Trained with General datasets and Tested 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\% & 0.000 & 0.00\% & 0.000 & 0.00\% \\ \hline
2 & 0.070 & 4.41\% & 0.071 & 4.20\% & 0.079 & 4.90\% \\ \hline
3 & 0.000 & 0.00\% & 0.141 & 33.49\% & 0.088 & 6.63\% \\ \hline
4 & 0.000 & 0.00\% & 0.046 & 16.03\% & 0.070 & 64.14\% \\ \hline
5 & 0.000 & 0.00\% & 0.094 & 8.49\% & 0.182 & 21.12\% \\ \hline
6 & 0.158 & 56.03\% & 0.079 & 6.44\% & 0.123 & 7.67\% \\ \hline
7 & 0.000 & 0.00\% & 0.018 & 7.14\% & 0.036 & 10.71\% \\ \hline
8 & 0.084 & 25.10\% & 0.120 & 10.88\% & 0.118 & 6.69\% \\ \hline
9 & 0.000 & 0.00\% & 0.000 & 0.00\% & 0.000 & 0.00\% \\ \hline
10 & 0.000 & 0.00\% & 0.049 & 3.09\% & 0.029 & 1.54\% \\ \hline
11 & 0.361 & 36.25\% & 0.126 & 8.07\% & 0.229 & 15.32\% \\ \hline
12 & 0.000 & 0.00\% & 0.079 & 6.41\% & 0.062 & 4.55\% \\ \hline
13 & 0.000 & 0.00\% & 0.043 & 2.93\% & 0.270 & 25.85\% \\ \hline
14 & 0.279 & 17.55\% & 0.192 & 11.94\% & 0.558 & 60.63\% \\ \hline
15 & 0.000 & 0.00\% & 0.123 & 31.09\% & 0.063 & 10.88\% \\ \hline
16 & 0.000 & 0.00\% & 0.000 & 0.00\% & 0.000 & 0.00\% \\ \hline OA(\%) & 16.626\% & \multicolumn{2}{c}{10.352\%} & \multicolumn{2}{c}{17.074\%} \\ \hline AA(\%) & 8.71\% & \multicolumn{2}{c}{9.39\%} & \multicolumn{2}{c}{15.04\%} \\ \hline Kappa & 0.06478 & \multicolumn{2}{c}{0.0376} & \multicolumn{2}{c}{0.113} \\ \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 & 0.000 & 0.00\% & 0.000 & 0.00\% & 0.744 & 63.04\% \\ \hline
2 & 0.000 & 0.00\% & 0.483 & 36.41\% & 0.802 & 81.23\% \\ \hline
3 & 0.006 & 0.30\% & 0.512 & 46.27\% & 0.757 & 73.86\% \\ \hline
4 & 0.001 & 0.07\% & 0.432 & 41.77\% & 0.671 & 71.31\% \\ \hline
5 & 0.000 & 0.00\% & 0.150 & 8.90\% & 0.921 & 90.89\% \\ \hline
6 & 0.000 & 0.00\% & 0.821 & 97.40\% & 0.942 & 93.84\% \\ \hline
7 & 0.000 & 0.00\% & 0.286 & 17.86\% & 0.846 & 78.57\% \\ \hline
8 & 0.242 & 31.17\% & 0.933 & 98.33\% & 0.967 & 99.58\% \\ \hline
9 & 0.000 & 0.00\% & 0.000 & 0.00\% & 0.714 & 75.00\% \\ \hline
10 & 0.101 & 22.88\% & 0.521 & 45.68\% & 0.783 & 78.60\% \\ \hline
11 & 0.000 & 0.00\% & 0.686 & 87.54\% & 0.840 & 83.42\% \\ \hline
12 & 0.030 & 1.92\% & 0.467 & 37.10\% & 0.782 & 77.23\% \\ \hline
13 & 0.029 & 25.22\% & 0.862 & 93.17\% & 0.930 & 94.63\% \\ \hline
14 & 0.011 & 0.84\% & 0.841 & 96.60\% & 0.937 & 92.96\% \\ \hline
15 & 0.001 & 0.03\% & 0.331 & 22.54\% & 0.671 & 68.91\% \\ \hline
16 & 0.000 & 0.00\% & 0.972 & 94.62\% & 0.906 & 98.92\% \\ \hline OA(\%) & 8.403\% & \multicolumn{2}{c}{64.719\%} & \multicolumn{2}{c}{83.969\%} \\ \hline AA(\%) & 5.15\% & \multicolumn{2}{c}{51.51\%} & \multicolumn{2}{c}{82.63\%} \\ \hline Kappa & \multicolumn{2}{c}{\(-0.0028\)} & \multicolumn{2}{c}{0.5878} & \multicolumn{2}{c}{0.817} \\ \hline \end{tabular}
\end{table} 
Table 13: Classification results of the Indian Pines dataset to which random spatial information is not applied for training and random spatial information to test.