# A Segmentation-Based Optimal Seamline Generation Method for SAR Image Mosaic
## 3 Results and Analysis
### Visual Assessments  
Figures 5 and 6 reveal that all three methods contribute to optimizing the seamline compared to the initial seamline. However, the optimization effects of the three methods vary significantly. Dataset 1 does not contain very large regions of topographic undulation, and it is dominated by farmland and urban regions, with a small number of lakes. Figure 7(a1-a4) show the initial seamlines, which clearly cross obvious features such as buildings. Figure 7: Detail comparison of results of Dataset 1. (**a1–a4**) Initial seamline network result details, respectively, corresponding to the orange box area in Figure 5a. (**b1–b4**) [PERSON] et al. [20] method result details, respectively corresponding to the orange box area in Figure 5b. (**c1–c4**) [PERSON] et al. [25] method result details, respectively corresponding to the orange box area in Figure 5c. (**d1–d4**) SOSG method result details, respectively corresponding to the orange box area in Figure 5d. Figure 8: Detail comparison of results of Dataset 2. (**a1–a6**) Initial seamline network result details, respectively corresponding to the orange box area in Figure 5a. (**b1–b6**) [PERSON] et al. (2019) method result details, respectively corresponding to the orange box area in Figure 5b. (**c1–c6**) [PERSON] et al. (2019) method result details, respectively corresponding to the orange box area in Figure 5c. (**d1–d6**) SOSG method result details, respectively, corresponding to the orange box area in Figure 5d. Figure 7(b1-b4) show the seamless generated by the [PERSON] et al. [20] method, and it can be seen that in Figure 7(b1), when there are buildings in the vast farmland, the [PERSON] et al. [20] method generates a seamline that does not bypass, but crosses right through. In Figure 7(b2), the seamline generated by the [PERSON] et al. [20] method bypasses a few obvious features such as buildings, but the seamline is very close to the buildings, which may pose a small challenge to the feathering fusion afterwards. In Figure 7(b3), there is a very obvious wide road in the left area and the center area, which is a very desirable route for the seamline to be selected, and the [PERSON] et al. [20] method successfully recognizes this. As the road extends, there is a cluster of buildings in the right area, and the [PERSON] et al. [20] method, after searching for the seamline along the road to the north, did not make the decision to go east earlier and crossed between the two clusters of buildings. In Figure 7(b4), there are several lakes and a river, with a distinct cluster of buildings in the right area, and the seamline is satisfactorily routed in the left area and in the center area, but the decision to bypass the buildings is not accomplished when confronted with a larger number of buildings in the right side. Figure 7(c1) shows the choice of the [PERSON] et al. [25] method when faced with vast farmland, first searching along the east-west road, but buildings appear at the end of the road, which are not avoided, and then searching to the south after traversing the buildings, with a farmland region in the middle, which is a more ideal homogeneous area, the seamline in this area is in line with the optimal seamline, but in terms of the path, there is a longer path length. In Figure 7(c2), the decision of the [PERSON] et al. [25] method is to search for the optimal seamline along the road, but there are more building clusters on both sides of the road, and the method does not perform the dodge, and then the seamline is selected on the road between the buildings. In Figure 7(c3), there are obvious roads in the left area and center area, but the segmentation method in the [PERSON] et al. [25] method does not segment the roads well, resulting in the seamline not fitting the roads perfectly, while the [PERSON] et al. [25] method makes the same decision as the [PERSON] et al. [20] method in the right area but crosses more buildings than the [PERSON] et al. [20] method. In Figure 7(c4), in the left area, the [PERSON] et al.