Research on image mosaic method of UAV image of earthquake emergency

In recent years, remote sensing image of Unmanned Aerial Vehicle (UAV) is widely used in preventing and fighting calamities, searching and rescuing, territorial resources monitoring, forest fire prevention and so on. However, the development of UAV image processing has its own disadvantages, including time-consuming process and low level of automation. This paper extracts the scale invariant feature points of remote sensing image which is based on Scale Invariant Feature Transform (SIFT). Then utilize k-d tree on the feature points to create index. The next step is to further precise with RANSAC algorithm to correct the mismatching feature points to work out the accurate transformation matrix and achieve the image mosaic effect with image fusion technology. On this basis, compare with existing software of image mosaic to investigate its advantages and disadvantages.