# Progressive Dynamic Registration Method for Tile Maps Based on Optimum Multi-Features
## 4 Experimental Results and Applications
### Method Accuracy Verification and Comparison
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline \multirow{2}{*}{**ID**} & \multirow{2}{*}{**Scale**} & \multicolumn{2}{c}{**The Method of This Paper**} & \multicolumn{2}{c}{**SURF + RANSAC**} & \multicolumn{2}{c}{**Coordinate System Conversion**} \\ \cline{3-8}  & & **RMSE** & **Offset Value** & **RMSE** & **Offset Value** & **RMSE** & **Offset Value** \\ \hline
1 & 12 & 1.291 & \([-680.28,-139.11]\) & 1.324 & \([-676.84,-137.58]\) & 3.605 & \([-694.99,-203.51]\) \\
2 & 12.5 & 1.527 & \([-684.03,-122.72]\) & 1.568 & \([-688.48,-120.28]\) & 3.635 & \([-694.99,-203.51]\) \\
3 & 13 & 1.333 & \([-679.31,-118.99]\) & 1.333 & \([-677.45,-118.03]\) & 5.033 & \([-694.99,-203.51]\) \\
4 & 13.5 & 1.62 & \([-693.16,-202.09]\) & 4.108 & \([-663.88,-229.80]\) & 1.658 & \([-694.99,-203.51]\) \\
5 & 14 & 1.287 & \([-706.43,-201.95]\) & 3.553 & \([-671.63,-178.48]\) & 1.5 & \([-694.99,-203.51]\) \\
6 & 14.5 & 1.458 & \([-698.70,-204.64]\) & 2.937 & \([-705.34,-200.59]\) & 2 & \([-694.99,-203.51]\) \\
7 & 15 & 1.362 & \([-704.97,-204.28]\) & 1.368 & \([-704.00,-203.02]\) & 3.221 & \([-694.99,-203.51]\) \\
8 & 15.5 & 1.472 & \([-705.70,-206.15]\) & 1.4 & \([-705.77,-202.39]\) & 3.605 & \([-694.99,-203.51]\) \\
9 & 16 & 2.449 & \([-705.00,-205.67]\) & 2.543 & \([-706.97,-202.14]\) & 3.949 & \([-694.99,-203.51]\) \\
10 & 16.5 & 1.581 & \([-702.93,-204.26]\) & 1.87 & \([-705.38,-205.12]\) & 5.597 & \([-694.99,-203.51]\) \\
11 & 17 & 3.098 & \([-705.39,-203.82]\) & 2.984 & \([-704.20,-202.25]\) & 7.303 & \([-694.99,-203.51]\) \\
12 & 17.5 & 3.937 & \([-705.06,-202.49]\) & 5.782 & \([-706.76,-201.81]\) & 9.273 & \([-694.99,-203.51]\) \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Registration results of three methods in remote sensing maps of Beijing. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**ID**} & \multirow{2}{*}{**Scale**} & \multicolumn{2}{c}{**The Method of This Paper**} & \multicolumn{2}{c}{**SURF + RANSAC**} & \multicolumn{2}{c}{**Coordinate System Conversion**} \\ \cline{3-8}  & & **RMSE** & **Offset Value** & **RMSE** & **Offset Value** & **RMSE** & **Offset Value** \\ \hline
1 & 12 & 2.683 & \([-549.96,385.62]\) & 2.652 & \([-550.27,385.70]\) & 2.489 & \([-528.19,391.93]\) \\
2 & 12.5 & 2.669 & \([-553.66,361.19]\) & 2.703 & \([-554.55,362.37]\) & 3.316 & \([-528.19,391.93]\) \\
3 & 13 & 2.420 & \([-536.20,371.06]\) & 2.412 & \([-537.07,372.18]\) & 3.696 & \([-528.19,391.93]\) \\
4 & 13.5 & 1.699 & \([-535.93,381.82]\) & 1.682 & \([-536.55,382.91]\) & 1.943 & \([-528.19,391.93]\) \\
5 & 14 & 1.974 & \([-524.84,383.79]\) & 1.874 & \([-524.32,384.86]\) & 1.923 & \([-528.19,391.93]\) \\
6 & 14.5 & 2.000 & \([-538.46,381.90]\) & 1.968 & \([-535.77,382.71]\) & 1.871 & \([-528.19,391.93]\) \\
7 & 15 & 1.871 & \([-529.39,391.25]\) & 2.013 & \([-530.75,390.17]\) & 1.897 & \([-528.19,391.93]\) \\
8 & 15.5 & 2.683 & \([-527.32,395.63]\) & 2.624 & \([-527.21,395.44]\) & 2.387 & \([-528.19,391.93]\) \\
9 & 16 & 2.366 & \([-529.00,390.39]\) & 2.311 & \([-530.73,391.31]\) & 2.549 & \([-528.19,391.93]\) \\
10 & 16.5 & 2.366 & \([-535.42,390.18]\) & 3.412 & \([-535.23,390.49]\) & 4.393 & \([-528.19,391.93]\) \\
11 & 17 & 2.185 & \([-533.68,390.44]\) & 6.944 & \([-528.55,385.21]\) & 5.132 & \([-528.19,391.93]\) \\
12 & 17.5 & 5.060 & \([-537.56,387.36]\) & 14.352 & \([-542.44,381.11]\) & 8.615 & \([-528.19,391.93]\) \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Registration results of three methods in remote sensing maps of Ganzhou.